• generative AI
    The best HR & People Analytics articles of February 2024 I’m writing the introduction to this month’s compendium in New York, ahead of two events this week in the Big Apple. Firstly, I’m attending Gloat Live (thank you Ruslan Tovbulatov and the Gloat team), where I’ll be hosting a panel of three chief people officers – Michael Fraccaro Tanuj Kapilashrami and Tamla Oates-Forney– as well as sharing Insight222 research on building a data driven culture in HR. Also taking place this week is the Winter Peer Meeting for North American member companies of the Insight222 People Analytics Program, which is being hosted by Sally Masseyand Courtney McMahon at Colgate-Palmolive’s headquarters on Park Avenue. After a weekend back in the UK for my birthday, I’ll be heading back to the US for the Wharton People AnalyticsConference on March 14 and 15. If you’re going to Gloat Live or Wharton PAC, then please do come and say hello. I was also in Switzerland a few days ago for People Analytics WorldZürich (thanks to Barry Swales Ralf Buechsenschuss), and just a fortnight ago, Rob Etheridgeand his team kindly hosted the European Peer Meeting of the Insight222People Analytics Program at HSBC’s headquarters in London – you can read some of takeaways from London here. It’s certainly a busy period of travel - and lots of vapour trail! Attendees at the Insight222 Q1 European Peer Meeting for members of the People Analytics Program, hosted by HSBC in London Some of you have written to me to advise that you weren't able to join the recent Insight222 webinar on Turning Insight into Impact with People Analytics. You can find out more by scolling down to the Video of the Month below or access the recording by clicking on the image below. Looking for a new role in people analytics or HR tech? Before we get to this month’s collection of resources, I’d like to highlight once again the wonderful resource created by Richard Rosenowand the One Model team of open roles in people analytics and HR technology, which now numbers close to 500 roles. Share the love! Enjoy reading the collection of resources for February and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on January’s compendium (including those in the Comments below). If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. 2024 HR TRENDS AND PREDICTIONS DELOITTE – 2024 Global Human Capital Trends: Thriving beyond boundaries – Human performance in a boundaryless world The opening words of Deloitte’s 2024 Global Human Capital Trends perfectly capture the opportunity and challenge for HR today: “We’re operating in a world where work is no longer defined by jobs, the workplace is no longer a specific place, many workers are no longer traditional employees, and human resources is no longer a siloed function.” The seven trends covered in the report, each with its own chapter, are: (1) Embracing human sustainability, (2) Moving beyond productivity to measure human performance, (3) Balancing privacy with transparency to build trust, (4) Overcoming the imagination deficit, (5) Creating digital playgrounds to explore, experiment and play, (6) Cultivating workplace microcultures, and (7) Making the shift to a boundaryless HR. The report, which has 122 pages, is packed full of thought-provoking insights, visualisations and data – including FIG 1 and FIG 2 below. Kudos to the authors: Susan Cantrell Corrie Commisso Julie Duda Kraig Eaton Jason Flynn John Forsythe Michael Griffiths John Guziak Lauren Kirby David Mallon Mari Marcotte Shannon Poynton Nicole Scoble-Williams GAICD Yves Van Durme and Matteo Zanza. We’re operating in a world where work is no longer defined by jobs, the workplace is no longer a specific place, many workers are no longer traditional employees, and human resources is no longer a siloed function. FIG 1: In the era of human performance, business and human outcomes are mutually reinforcing (Source: Deloitte 2024 Global Human Capital Trends) FIG 2: Source: Deloitte 2024 Global Human Capital Trends ERNEST NG - What are the most Important things HR will need to focus on in 2024? | ALLISON BAUM GATES - Six predictions for the future of health, wealth, and work in 2024 | LYNDA GRATTON - Predictions for the Workplace of 2025, Revisited Continuing with the prediction vibe, here are two more thoughtful reflections on what lies ahead and one reflection, 15 years on, from Lynda Gratton on her previous predictions about the future of work. (1) Ernest Ng, PhD, now at HiredScore– who Workdayhas just announced their intent to acquire, highlights a number of predictions for the year ahead combining a focus on efficiency, incorporating AI into the way we work and supporting employees to navigate change. (2) Allison Baum Gates, General Partner at SemperVirens Venture Capital combines the future of health, wealth and work into her predictions including: “AI’s primary impact in 2024 will be accelerating a shift to skills-based organizations.” (3) Lynda Gratton reflects on her Predictions for the Workforce of 2025, which she originally made in 2010 covering what she got right, where she misjudged, and what she learned about experimenting. It will be wise to expect the unexpected. And when it comes, be prepared to observe closely, pivot quickly, and experiment widely. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK ALEX CAMP, PHIL KIRSCHNER, LAURA PINEAULT, AND PATRICK SIMON - Hybrid can be healthy for your organization—when done right Research from McKinsey suggesting that a fully remote organisation can demonstrate a level of organisational health that rivals, if not exceeds, the performance of most traditional companies. In the article, Alexandra Camp Phil Kirschner Laura Pineault and Dr. Patrick Simon highlight six priorities for companies aspiring to sustain a flexible or highly distributed workplace in parallel with top organisational health: (1) Remove ambiguity about working practices. (2) Reset performance expectations. (3) Be transparent. (4) Be purposeful about where people work. (5) Foster trust and a sense of support. (6) Test and learn. Fully remote organizations can demonstrate a level of health that rivals, if not exceeds, the performance of most traditional companies. FIG 3: Six priorities to sustain a flexible or highly distributed workplace (Source: McKinsey) KELLY JONES - Unlocking the Power of Hybrid Work: 5 Guiding Principles from Cisco's 3-Year Study Article | White Paper | Executive Summary Kelly Jones, Cisco's Chief People Officer, unveils the findings of a three year Future of Work study by Cisco’s People Intelligence Team, which was designed to explore the employee experience prior to the global pandemic, through the pandemic, to office re-opening and beyond. Kelly's article summarises five guiding principles for hybrid work including reimagining the office to create meaningful moments and encouraging leaders to be intentional with their attention. The executive summary also outlines five key findings and recommendations (see FIG 4): (1) People may be choosing to work from home, but in person touchpoints are still essential. (2) Effective collaboration is a balancing act. (3) Flexibility and choice positively influence engagement. (4) Leaders might be struggling the most. (5) Leader attention is the #1 predictor of engagement. Thanks to Roxanne Bisby Davis for highlighting. Make the office a magnet, not a mandate FIG 4: Source - Choice is Critical in the Future of Work (Cisco, 2024) MICHAEL ARENA AND PHIL ARKCOLL - Enabling High-Velocity Teams As Michael Arena and Philip Arkcoll outline, the significance of teams has never been greater, yet their effectiveness depends on being able to operate with both speed and focus. The article presents the findings of their research as to why focused teams outperform, and then provides five practices designed for teams to imbue more intentional collaboration: (1) Leverage collaboration phases. (2) Focused team structure. (3) Minimise frequent team shifts. (4) Actively manage dependencies and distractions. (5) Formation of integration teams. With the rapid advancements in technology today, optimal team performance and speed matter disproportionately in ensuring market success. FIG 5: Internally and externally focused agile teams (Source: Michael Arena and Philip Arkcoll) GAD LEVANON | SHRM & THE BURNING GLASS INSTITUTE - Generative Artificial Intelligence and the Workforce The Burning Glass Institute continues to publish fascinatingly insightful reports about the world of work. In their latest report, in collaboration with SHRM, Gad Levanon investigates how GenAI will impact industries, companies, and jobs, and reshape the economy. It reinforces that GenAI will have the greatest impact on high-skilled, professional work, provides indications of how GenAI will impact the economy (see FIG 6) and provides four actions for CHROs to: (1) Evaluate your organisation’s composition, (2) Evaluate the roles within your organisation, (3) Consider your current talent pipeline, and (4) Develop a game plan. In the coming years, GenAI will both drive massive boosts in productivity and necessitate layoffs. Begin planning ways to leverage GenAI’s productivity benefits and prepare for the disruptions to your workforce through a combination of upskilling investments to give workers the skills to remain relevant and reskilling programs to reposition workers in areas of more stable demand. FIG 6: Sequence of economic disruptions caused by GenAI (Source: SHRM and The Burning Glass Institute) FIG 7: Implications of GenAI for HR functions (Source: SHRM and The Burning Glass Institute) ANA KREACIC, AMY LASATER-WILLE, LUCIA URIBE, RAVIN JESUTHASAN, JOHN ROMEO, AND SIMON LUONG - How Generative AI Is Changing The Future Of Work | TED LIU, CARINA DENG, AND KELLY MONAHAN - How Generative AI Adds Value to the Future of Work Two studies analysing the impact of GenAI on the world of work. The first by Ana Kreacic Amy Lasater-Wille Lucia Uribe Ravin Jesuthasan, CFA, FRSA John Romeo and Simon Luong for the Oliver Wyman Forum finds that GenAI could add up to $20 trillion to global GDP by 2030 and save 300 billion work hours a year. It also finds that while 96% of employees believe AI can help them in their current job, 60% are afraid it will eventually automate them out of work. There are numerous other insights and visualisations in the 100 page report including a projection of the likely productivity gains at work from GenAI in the next decade (see FIG 8). The second study, by Ted Liu Carina Deng and Kelly Monahan, Ph.D.for the UpworkResearch Institute, provides a comprehensive analysis of the initial impact of GenAI on the Upwork marketplace for independent talent. It finds that the impacts may already being felt with reductions in demand for work such as writing and translation and a surge in demand for skills associated with GenAI such as data science and analytics. Generative AI could add up to $20 trillion to global GDP by 2030 and save 300 billion work hours a year. FIG 8: Phases of generative AI’s impact on productivity at work (Source: Oliver Wyman Forum) GEORGE WESTERMAN, SAM RANSBOTHAM, AND CHIARA FARRONATO - Find the AI Approach That Fits the Problem You’re Trying to Solve | TOMAS CHAMORRO-PREMUZIC - 7 Strategies to Get Your Employees On Board with GenAI | ANDY BALDWIN - 3 Ways to Embed DEI Into Your Company’s AI Strategy | MARTHA CURIONI – Why is Explainable AI Important for HR? | BRETT DYKES - Why AI Isn’t Going To Solve All Your Data Culture Problems There may be a far degree of hype around GenAI, but it does seem to be accelerating the engagement of HR leaders and professionals with AI, and is also leading to an increasing number of thoughtful studies and articles on AI, including these five resources: (1) George Westerman Sam Ransbotham and Chiara Farronatooutline four categories of advanced analytics – GenAI, traditional deep learning, econometrics, and rule-based automation, and offer five questions to ask about AI’s constraints including: What is the cost of being wrong? (2) As Dr Tomas Chamorro-Premuzic observes: “the human factor — people and culture — will drive the adoption of AI, or lack thereof.” Tomas then presents seven strategies to get employees on board including i) focusing on the problem that GenAI can solve, and ii) being proactive about ethical concerns. (3) In his article for Harvard Business Review, Andy Baldwin outlines three ways to incorporate DEI into AI strategy through: i) embedding DEI into the design of your AI systems; ii) incorporating DEI into any AI-related upskilling programs; and iii) using AI as an opportunity to boost DEI. (4) Martha Curioni defines explainable AI and explains why it is critical to HR so it can provide transparency, build trust, mitigate bias and enable data driven decision making. (5) Finally, Brent Dykes cautions that while a recent study found that GenAI had catalysed a dramatic rise in the number of companies that reported they had ‘created a data-driven organization’ (from 23.9 percent in 2023 to 48.1 percent in 2024), AI is not a silver bullet for data culture. He illustrates this (see FIG 9) by referencing a study a European bank did to assess its own data culture, before highlighting two proven ways to build a data culture: executive sponsorship and role-modelling, and talent. As with any aspect of digital transformation, the effective deployment of generative AI will depend less on technological capability than on human adaptability FIG 9: Source: Brent Dykes, Analytics Hero PEOPLE ANALYTICS MARIËLLE SONNENBERG, FEDERICO BECHINI, SIETSE SCHRÖDER, AND CAITLIN VAN MIL - Our Real-Life Journey with GenAI in Skills and Talent Management (with code!!) | ADAM MCKINNON – Introducing Lex – Australian Employment Law Support AI | ALEC LEVENSON - A killer app with huge upsides and dangerous downsides: Applying AI to People Analytics Two examples of GenAI in People Analytics in practice – and an article by Alec Levenson on AI in people analytics. (1) the Wolters Kluwer talent analytics team of Mariëlle Sonnenberg, PhD Federico Bechini Sietse Schröder and Caitlin van Mil share a case study of using GenAI to provide the foundation of their work to transition to a skills-based organisation. The article shares learnings from their journey (and the code!) including tips around data security, prompts, and system testing. (2) Adam McKinnon, PhD. presents Lex – an AI chatbot that has been trained on Australian workplace legislation. As Adam explains, Lex has been trained not to make up answers, and it should refuse to answer any question that cannot be answered using the legal documents it has been trained on. (3) Alec Levenson addresses the potential upsides and risks of applying AI to PA before providing a roadmap for ethical and effective application. A human- and science-based perspective on any People Analytics model’s predictions is always needed, whether AI is applied or not. PIETRO MAZZOLENI - Unlocking People Data: Lessons from Transforming IBM's Data Platform to Elevate People Analytics - The Why and the What | JON LESTER - Creating the future of human resources Pietro Mazzoleni presents the first edition of what promises to be an interesting and insightful new LinkedIn newsletter, People Data Platform, which will explore the evolution of IBM's internal people data platform and its role in fostering data democratisation and people analytics. The first instalment covers the what and the why, and also provides an overview of Workforce 360 (W360 – see FIG 10), IBM’s internal people data platform. Pietro explains that the initial focus for W360 was (1) to digitalise People Scorecard, IBM´s main talent dashboard that measures the health of the workforce, and (2) to scale IBM’s advanced AI solutions like Job Recommendation, Attrition Risk Analysis, and Compensation Advisor. I recommend reading Pietro’s article alongside the second article, featuring Jon Lester on how in an initial pilot in IBM Consulting, a digital AI assistant (HiRo) saved 12,000 hours in one quarter, and halved the quarterly promotion process from 10 to 5 weeks. FIG 10: Benefits of Workforce 360 (Source: IBM, Pietro Mazzoleni) WILLIS JENSEN - Why Is It So Hard to Get Finance and HR Aligned? | JACKSON ROATCH - The Behavioral Economics of Return to Office | LYDIA WU - The Problem with “I Don’t Disagree” in People Analytics | JARED VALDRON - An FAQ on Generative AI in People Analytics | ANSHUL SHEOPURI - People Operations As A Critical Differentiator For Employee Experience | JUSTIN PURL - The People Analytics Method: Why TikTok's Head of Global People Analytics prioritizes context not control As has also been the case in recent months, February saw a number of articles from current and recent people analytics leaders. These act as a spur and inspiration to the field. Six are highlighted here. (1) Willis Jensenboils down the traditional disconnect between HR and Finance teams on headcount: “There are some fundamental differences in counting the number of people (headcount) versus counting the amount of worker productivity (FTE) and both are necessary for different goals.” (2) Jackson Roatchanalyses the return to office topic through the lens of behavioural economics. (3) Lydia Wubreaks down why hearing “I don’t disagree” is a problem for people analytics, and in doing so highlights the importance of building trust with key stakeholders. (4) Jared Valdronprovides a set of answers to 18 frequently asked questions about GenAI in people analytics including i)) Is generative AI a good co-pilot for programming? ii) How will generative AI change the People Analytics job market? (5) Anshul Sheopurihighlights five areas where providing a frictionless experience is key to a successful EX program including i) Design with the user in mind and build for scale, and ii) Trusted data enables a solid foundation and responsible AI delivers personalised experiences. (6) Justin Purl Head of Global People Analytics of TikTok, introduces The People Analytics Method (see FIG 11) as a scientific approach for accumulating context that delivers impactful insights and supports HR decision-making While it can be challenging to measure the financial impact of HR projects, that shouldn’t stop HR from trying to build those business cases. FIG 11: The People Analytics Method (Source: Justin Purl) Two key parts of The People Analytics Method are understanding context and engaging employees. THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE J. PUCKETT, VINCIANE BEAUCHENE, PATRICK ERKER, AND ZHDAN SHAKIROV – Is Your Upskilling Program Paying Off Measuring the Return on Learning Investment is arguably the Holy Grail of upskilling programs, but according to this article by BCG it is in fact possible. In their article, J. Puckett Vinciane Beauchene C. Patrick G. E. and Ƶhdan Shakirovpresent a three-step approach: (1) Identify the desired business impact upfront. (2) Define the metrics for holding the program accountable to that impact and measuring progress. (3) Determine whether the targeted impact has been achieved. Before embarking on any upskilling program, organizations first need to establish the business impact they will measure after the program is over. FIG 12: Metrics for assessing the impact of learning programs (Source: BCG) DAVE ULRICH AND HARRISON JAMES - How to Ensure that Human Capability Investments Deliver Stakeholder Value As Dave Ulrich and Harrison James explain in their article, organisations typically rely on benchmarking and best practices to evaluate the return from human capital investments. They argue that these methods are often limited and do not provide the specific guidance to impact the business results of individual companies. Their article sets out an alternative: an Organization Guidance System (OGS), which begins by identifying the stakeholder outcomes relevant in your company as a precursor to then determining through providing an opportunity score (see FIG 13) for which human capability initiatives best deliver those outcomes. FIG 13: Source: Dave Ulrich, The RBL Group WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS MARC EFFRON - Is the Juice Worth the Squeeze? Questions About Becoming a Skills-based Organization As Marc Effron of The Talent Strategy Group highlights in his remarkable must-read article, there have been many claims made by consulting firms and technology providers about the case for shifting to being a skills-based organisation. In the article, Marc examines these claims, asking and answering 17 questions about skills-based organisations. The questions include: (1) If a skills-based approach is needed, why is it needed? (2) What changes will my organisation have to make to become a skill-based organisation? (3) Is there any proof that a skills-based approach delivers results? (4) Will AI and technology solutions better enable companies to track, manage and match skills? (5) How predictively accurate are skills in determining performance? Whatever side of the skills-based organisation debate you are on, I highly recommend reading Marc’s article. At best, shifting to a skills-based environment can help some people in some situations at a large cost. It is likely best suited to industries where there is financial largess including pharmaceutical, banking, and larger consumer products firms. At worst, it reflects HR’s continued pursuit of novelty with the giddy support of technology and consulting firms that are all-too willing to promote and enable this questionable solution. SCOTT REIDA - Draft priority role competency needs over time using ChatGPT4 and Tableau A practical and technical guide from Scott Reida a workforce strategist at AWS, as he demonstrates how to use ChatGPT to drive talent intelligence by identifying current and future developments for key roles within an organisation. Scott visualises the outputs from ChatGPT in Tableau over a time horizon of ten years using the example of competencies for a data scientist. FIG 14: Source – Scott Reida (access here) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING ALICE DAMONTE, DANIEL MORALES, AND SARAH TOBEY - Employee listening programs and how to keep employees talking | IT SURVEY GROUP - What’s on the Horizon? Three Trends That Will Shape Employee Listening in 2024 Alice Damonte Daniel Morales and Sarah Tobeyfrom McKinsey’s internal people analytics and measurement team share learnings from Pulse, their continuous listening program. This capability has already enabled the team to shape more than 300 different initiatives since it was established three years ago. Their article focuses on two key elements of a successful employee listening program: (1) Making it easy and meaningful for employees to participate, which is enabled by providing transparency through firm-wide readouts, community dialogues, and individualised insights with support. (2) Making it straightforward for leaders to listen and act, which the team enable through ‘care packages’ to help leaders focus their attention on what matters most. For readers that enjoy this, I also recommend the second article, which features EX/HR leaders such as Kristin Saboe, Ph.D. Caitie Jacobson Stephanie Andel, PhD Patrick Gallen, MSOD Madison Beard and Ronald Ivan Dela Cruz forecasting three key trends for employee listening in 2024. To ensure an employee listening channel is sufficiently well stocked with timely insights, it must be easy and meaningful for employees to participate, and straightforward for leaders to listen and act. FIG 15: Source: McKinsey FIG 16: Three key trends shaping employee listening in 2024 (Source: IT Survey Group) LEADERSHIP AND CULTURE AMY C. LEWIS, ANDREA DERLER, CUTHBERT CHOW, MANDA WINLAW, AND DANI HAIG – Designing Impactful Teams: Data-backed insights about effective team size What does team size have to do with designing high-performing teams? That was the exam question, the Visier Inc.team of Andrea Derler, Ph.D. Cuthbert Chow Manda Winlaw and Dani Haigsought to answer in a collaborative study with Amy C. Lewis, PhD Professor of Management at the College of Business at Texas A&M University-San Antonio. Key findings include: (1) Most people work in teams of six to ten. (2) Team size varies by the nature of the work. (3) Smaller teams have more high performers. (4) Smaller teams have lower resignation rates (see FIG 17). The report has some helpful insights for those studying team effectiveness and involved in organisational design work. FIG 17: Smaller teams have lower resignation rates (Source: Visier) SPENCER HARRISON AND KRISTIE ROGERS - Building Culture From the Middle Out The premise of a study by Spencer Harrisonand Kristie Rogersis for a business to harness the power of culture, it needs managers and team leaders to go beyond believing that they are responsible for culture to actively building it. Their research finds that managers that successfully achieve this are able to link the ‘big-C’ culture of their organisation (e.g. the official set of values) with the ‘small-c’ culture that plays out in the narrower and vibrant daily patterns of interaction (see FIG 18). The article highlights four successful strategies: (1) Endorse big-C culture through celebration and preservation of select features. (2) Endorse big-C culture by learning from other managers. (3) Enrich small-c culture through cultural innovations. (4) Enrich small-c culture by empowering employees to innovate. FIG 18: Endorse and Enrich Your Way to Corporate Culture (Source: Harrison and Rogers) JOSH BERSIN - How to Actually Execute a 4-Day Workweek | DOUGLAS BROOM - Four-day work week trial in Spain leads to healthier workers, less pollution | BENJAMIN LAKER – How Far-Reaching Could the Four-Day Workweek Become? AVA MARTINEZ – A 3-Day Workweek Could Complicate The Future of Work Four articles on the four-day week, a concept that seems to be gathering momentum with pilots suggesting that business outcomes can be maintained while employee wellbeing and retention is enhanced. (1) Josh Bersinpresents findings from his study that finds companies need to undertake substantial work redesign to reduce hours while maintaining business outcomes to make the four-day week work. (2) Writing for the World Economic Forum, Douglas Broom shares results from a four-day work week pilot in Valencia, which found that giving workers an extra day off a week actually increases productivity, boosts physical and mental health and reduces CO2 emissions. (3) Benjamin Laker, who has been studying the four-day week for a number of years, outlines the findings from a UK study on the four-day week, which finds that 92% of the 61 companies that participated in the pilot are continuing with the four-day week. Laker also highlights that research conducted before and after the trial revealed that 39% of employees experienced lower stress levels and 71% noticed less burnout while working shorter weeks (see FIG 19). (4) From being one of the CEO outliers on return to the office, JP Morgan Chase CEO Jamie Dimon suggests that AI may precipitate a future of work where the working week is three days – as reported by Ava Martinez for The HR Digest. FIG 19: Source: The UK’s four-day week pilot (Autonomy) DIVERSITY, EQUITY, INCLUSION, AND BELONGING SERENA HUANG - DEI Funding Cuts? You Need Data Analytics and AI More Than Ever | BOGDAN YAMKOVENKO AND STEPHEN TAVARES - To Understand Whether Your Company Is Inclusive, Map How Your Employees Interact With many companies and institutions – particularly in the US – cutting back on their DEI programs, a recent edition of Serena H. Huang, Ph.D. From Data to Action newsletter is well timed. Serena explains how people data and analytics can help reverse this trend and highlights a number of helpful resources. One of the resources Serena highlights is a seminal article by Bogdan Yamkovenko, PhD and Stephen Tavares first published in Harvard Business Review in 2017. It provides a case study of a professional services firm that used organisational network analysis to identify that that women were largely shut out of its decision making, idea sharing, and emotional support networks (see FIG 20). For more from Serena, please tune into her recent conversation with me on the Digital HR Leaders podcast: How to Enhance Your Career in People Analytics. FIG 20: 3 ways to look at employee networks at one professional services firm (Source: Heidrick & Struggles) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from February that I recommend readers delve into: LOÏC MICHEL | 365TALENTS – Your Absolute How to Guide to Skills Management – A handy guide to skills management from Loïc Michel and the 365Talentsteam featuring guidance and case studies. ALICIA ROACH - Let's Talk About Lay-Offs – Alicia Roach of eQ8 frames the recent spate of layoffs from companies posting impressive profits in the context of culture and workforce planning (see FIG 21). As Alicia writes: “We can do better. We must do better.” FIG 21: Scenario modelling and external shocks (Source: Alicia Roach, eQ8) RICHARD ROSENOW - Embracing Remote Work for Senior People Analytics Roles: A Strategic Imperative – Richard Rosenow of One Model makes a persuasive case for why every organisation looking to lead in People Analytics should consider making their senior roles, if not all of their People Analytics roles, remote eligible. For more on people analytics jobs, check out this analysis of executive and director people analytics roles by Patrick Coolen. BLEDI TASKA - SkyHive Data Reveals Greater Gender Disparity in the Generative AI Sector Compared to the Tech Industry at Large – Bledi Taska, Ph.D. presents SkyHive data and key findings on the impact of Generative Al on the U.S. job market and economy. His analysis highlights the urgent need for reskilling and upskilling initiatives to mitigate inequality in the workforce. Thanks to Todd Raphael for highlighting. HAKKI OZDENOREN - Move Over HR, AI Is the New Recruiter! – Hakki Ozdenorenpresents data and analysis from Revelio Labs, which finds that HR job postings mentioning AI are surging ahead of other listings. This underscores the need for HR professionals to reskill in areas like AI and data literacy. Thanks to Ben Zweig for highlighting. FIG 22: AI related job postings in HR roles are on the rise (Source: Revelio Labs) MARC RAMOS - Learning & Development is the New Research & Development - How the Learning Function Can be the AI Accelerator Part 1 | Part 2 – Cornerstone OnDemand CLO Marc Steven Ramos presents his two-part series on the L&D function  investigating, testing and extending the use of AI within organisations – includes FIG 23 on blending R&D and L&D approaches. FIG 23: Complementing R&D and L&D approaches (Source: Marc Ramos) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): HEMERSON PAES, COLE NAPPER, AND SCOTT HINES - Active & Passive ONA Use Cases at Roche – Hemerson Paes joins hosts Cole Napperand Scott Hines, PhDon the Directionally Correct podcast to share his work rolling out active and passive ONA applications at scale at Roche. BOB SUTTON AND ADAM GRANT - How to become a “friction-fixer” – Leading management thinker and organisational psychologist at Stanford, Bob Sutton, joins Adam Grant on ReThinking to discuss his new book, The Friction Project, on how to diagnose and then fix workplace problems. Unmissable. JASON CORSELLO AND LAURIE RUETTIMANN - HR Technology 2024 – Jason Corsello from Acadian Ventures joins Laurie Ruettimannon Punk Rock HR to discuss the state of the HR tech market, the potential and concerns of AI, and the importance of future skills. ANDREW SAIDY AND CHRIS RAINEY - Why a Talent Marketplace is Win-Win for Employees and Organisations - Andrew Saidy joins Christopher Rainey of HR Leaders to discuss his work at Ubisoft, where skills are becoming the currency for hiring, mobility and promotions rather than solely relying on degrees or tenure. STEPHANIE DENINO, KIRAN MENON, AND DEBKANYA DHAR VYAVAHARKAR - Moving EX from boardroom to office floor - Stephanie Denino of TI PEOPLE speaks to hosts of the EXtra Extra podcast Kiran Menon and Debkanya Dhar Vyavaharkar about the findings of the State of EX report, and applying agile principles towards shipping EX ideas out of the boardroom and onto the office floor. VIDEO OF THE MONTH NAOMI VERGHESE, ALAN SUSI AND DAVID GREEN | INSIGHT222 - How Leading Companies shift People Analytics from Insight to Impact Please forgive the mild case of self-indulgence, but the ‘Video of the Month’ is actually a webinar we recently hosted at Insight222based on our People Analytics Trends research, which was informed by a survey of 271 participating companies. In the webinar, Naomi Vergheseand I walked through the findings from the Insight222 People Analytics Trends research, unveiling the distinctive characteristics of ABCD Teams that propel organisations to new heights. Naomi and I were joined by Alan Susi, VP and Global Head of Organisational Analytics and People Insights at S&P Global. Alan shared insights on how the firm successfully elevated their approach to people analytics, turning data into tangible business outcomes. You can access the webinar here – or by clicking the image below. BOOK OF THE MONTH JOHN WINSOR AND JIN H. PAIK – Open Talent: Leveraging the Global Workforce to Solve Your Biggest Challenges In Open Talent, John Winsor and Jin Paik advocate that companies need to shift to a more ‘distributed’ structure that revolves around talent (people) and projects in a networked organisation. In this model, talent is assembled from both inside the organisation (via an internal talent marketplace) and outside (via external talent clouds). The authors reveal how they implemented open talent strategies, and how other companies can adopt these techniques. A thoughtful and insightful read. RESEARCH REPORT OF THE MONTH SHELLEY XIN LI, FRANK NAGLE, AND ANER ZHOU - Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks An interesting paper by Shelley Xin Li, Frank Nagle, and Aner Zhou for the Harvard Business School Strategy Unit, which constructs and describes a comprehensive network for 7,715 publicly traded U.S. firms from 2004 to 2018, using data on over 9 million people with 2 billion connections from the professional social network LinkedIn. The key finding is that while employees do not necessarily make connections for the company’s benefit, the centrality of that company in the employee network positively predicts company value. Thanks to Nicolas BEHBAHANI for highlighting. FIG 24: Firm-level Network Centrality and Economic Performance for U.S. Public Firms in 2018 (Source: Li, Nagle, and Zhou, 2023) FROM MY DESK February saw the final two episodes of Series 36 of the Digital HR Leaders podcast, sponsored by ScreenCloud as well as the first episode of Series 37 sponsored by Culture Amp. Thank you respectively to Luke Farrugia of ScreenCloud and Ellisa Packer and Jodie Evans of Culture Amp. ERIC SIEGEL - How to Overcome AI Adoption Challenges in HR – Eric Siegel, the author of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, explains how to successfully deploy machine learning in organisations while remaining focused on outcomes, ethics, and improving decision making. BERNARD MARR - Achieving AI & Human Synergy in Data-Driven HR – Bernard Marr, who always has his finger on the pulse when it comes to new technologies, shares insights from his book, Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance, and how AI is already impacting HR, and how it will increasingly do so in the future. REBECCA THIELEN - Microsoft's Key to Strategic Workforce Planning Success – Rebecca Thielen shares insights from the workforce planning journey at Microsoft, including the role of analytics, close partnership with finance, and the clear focus on the problem statement. ANGELA LE MATHON, IAN COOK, AND DAVID GREEN - The Strategic Agenda for People Analytics in 2024 – I also hosted a webinar with Angela LE MATHON and Ian Cook, which was organised by Visier Inc. and People Analytics World, to discuss the agenda for people analytics in 2024. Topics discussed included the role of middle management in strategic decision-making, the impact of AI on people analytics, and the practical challenges and strategies for implementing AI and analytics within HR frameworks. THANK YOU Finally, this month I’d like to thank: Matt Manners and the team at Inspiring Workplaces for once again including me on their Top 101 Global Employee Engagement & Experience Influencers 2024, sponsored by Huler. Jennifer McClurefor including me in her list of recommendations for HR professionals looking to build a Personal Development Library. Amit Mohindrafor including Excellence in People Analytics as one of the course materials for his people analytics course at Stanford University Malgorzata (GOSIA) LANGLOIS for posting about the Microsoft case study contributed by Dawn Klinghoffer in Excellence in People Analytics. Stephen Hickey for including me in his list of go-to resources on people analytics. Dr. Divya Sainath for posting about our conversation at the recent Indeed Future Talent event in Bangalore. Thomas Kohler for including the January edition of Data Driven HR Monthly in his list of HR Resources. Teamflect for including the Digital Hr Leaders podcast at number six in its list of the top 20 HR podcasts. Ekta Vyas Ph.D for posting about my article, A History of People Analytics in Five Ages. Andrew Lafontaine for creating a post with highlights from the episode of the Digital HR Leaders podcast on How to Overcome AI Adoption Challenges in HR with Eric Siegel. Wendy Van Ierschot for including me in her post about her book, Scale Ups and Downs. DOWNLOAD THE LATEST INSIGHT222 PEOPLE ANALYTICS TRENDS RESEARCH We’ve recently released our fourth annual People Analytics Trends report at Insight222: Investing to Deliver Value: A new Model for People Analytics, which is now available to download via the link – or by clicking on the image below. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. SEE ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024: March 4-6 - Gloat Live! (New York) March 14-15 - Wharton People Analytics Conference (Philadelphia) April 24-25 - People Analytics World (London) May 7-9 - UNLEASH America (Las Vegas) September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program October 16-17 - UNLEASH World (Paris) More events will be added as they are confirmed.
    generative AI
    2024年03月03日
  • generative AI
    The best HR & People Analytics articles of January 2024 2024年对HR专业人士来说是充满挑战和机遇的一年。经济不确定性、地缘政治紧张和技术进步是主要的挑战。文章强调了生产力的重要性，以及来自PwC、麦肯锡和埃森哲的洞察。利物浦经理朱尔根·克洛普的离职案例展示了领导力和文化的重要性。文章还强调了人力资源分析的重要性，提供了来自领先公司的见解。 2024年的HR趋势和预测涵盖了人工智能的影响和向基于技能的组织的转变。工作场所的心理安全、多样性、平等、包容和归属感仍然是重要议题。这篇文章为HR专业人士提供了全面的指导，帮助他们在未来一年中导航复杂性。 2024 is set to be a momentous year. With economic uncertainty, rising geopolitical conflict, and rapid advances in technology, it is also set to be a stormy 12 months for the world, for organisations, and for HR professionals too. Perhaps this explains the slew of insightful resources in January, which has made compiling this month’s collection as challenging as it has been enjoyable. One of the key focuses has been on ‘productivity’, and I’ve brought together a number of resources on this topic. There are also new studies from the likes of PwC, McKinsey, Glassdoor, Accenture, and Deloitte as well as articles featuring practitioners from companies including Spotify, Microsoft, Ericsson, Lloyds Banking Group, and Standard Chartered. There’s lots to enjoy and learn from. Join me for a webinar on February 21 to discover how Leading Companies shift People Analytics from insight to impact Are you an HR or People Analytics Leader seeking to transform your organisation’s People Analytics from mere insights to impactful business outcomes? If so, I invite you to join me for a webinar that Insight222 is hosting on February 21. Naomi Verghese and I will walk through the findings from the Insight222 People Analytics Trends research, unveiling the distinctive characteristics of ABCD Teams that propel organisations to new heights. Naomi and I will be joined by Alan Susi, VP and Global Head of Organisational Analytics and People Insights at S&P Global. Alan will share insights into how S&P Global successfully elevated their approach to people analytics, turning data into tangible business outcomes. You can register for the webinar here – or by clicking the image below. Jürgen Klopp – a study in leadership, culture, and analytics As a fervent supporter, I’m still processing the totally unexpected news that Jürgen Klopp will be leaving his post as the manager of Liverpool at the end of the current football season. In his press conference on taking the reins at Anfield in October 2015, Klopp stated his goal was to turn Liverpool from “doubters to believers.” He has done this with some aplomb amassing a haul of seven trophies (to date) including the Champions League in 2019 and then, the following year, the Holy Grail of Liverpool’s first league title in 30 years. But Klopp is more than a brilliant football manager. He is the epitome of an empathetic leader. His emotional intelligence and natural humility not only endears Klopp to his players, but to supporters too for whom he is adored. The reaction to the news reduced many Liverpool supporters to tears. I’m still hoping – probably forlornly - that like Alex Ferguson in 2002, Klopp will change his mind and stay. In the likely event that he does depart, I’m sure that multiple studies will be made on Klopp’s time at Anfield, and that his leadership skills, use of data and analytics, and ability to build an inclusive winning culture will be deservedly celebrated. YNWA. Looking for a new role in people analytics or HR tech? Before we get to this month’s collection of resources, I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 500 roles. Looking for a people analytics event to attend in 2024? Richard Rosenow has also been busy compiling a study of People Analytics Conferences to attend in 2024 with the data collected from practitioners themselves. Society for Industrial and Organizational Psychology (SIOP), People Analytics World and the Wharton People Analytics Conference all come out well as does the Insight222 Global Executive Retreat. Thanks to Richard for putting this together. Share the love! Enjoy reading the collection of resources for January and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on December’s compendium (including those in the Comments below). If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. THE QUEST FOR PRODUCTIVITY MCKINSEY - 2024 and beyond: Will it be economic stagnation or the advent of productivity-driven abundance? | PwC - 27th Annual Global CEO Survey: Thriving in an age of continuous reinvention | JOSH BERSIN - HR Predictions for 2024: The Global Search For Productivity | ERIK BRYNJOLFSSON - How AI Will Transform Productivity | BEN WABER AND NATHANAEL J. FAST - Is GenAI’s Impact on Productivity Overblown? When I talk with CHROs and People Analytics Leaders at the companies we work with at Insight222, one of the words I’m hearing most at the moment is ‘productivity’. Continuing economic and geopolitical uncertainty, the promise of AI, and challenging talent demographics are all fuelling the demand for productivity from CEOs. Here are five resources that can be filed under the ‘productivity’ umbrella: (1) McKinsey’s Ezra Greenberg, Asutosh Padhi, and Sven Smit present a model for businesses to capture the three-sided productivity opportunity (see FIG 1). (2) Amongst a ton of takeaways, the standout theme from the annual PwC CEO survey is that the vast majority of participating companies are already taking some steps towards reinvention, while CEOs believe that 40% of their work is wasted productivity (see FIG 2). (3) Josh Bersin draws from the PwC survey in his 2024 predictions, where he outlines The Productivity Advantage where “If you can help your company move faster (productivity implies speed, not only profit), you can reinvent faster than your competition.” (4) Stanford professor Erik Brynjolfsson offers leaders an overview of how AI will transform productivity. (5) Finally, Ben Waber and Nathanael Fast’s absorbing essay in Harvard Business Review cautions leaders on leaning into the hype on GAI’s supposed positive impact on productivity too heavily. The authors break down two of the key challenges with LLMs: a) their persistent ability to produce convincing falsities and b) the likely long-term negative effects of using LLMs on employees and internal processes. FIG 1: The three-side productivity opportunity (Source: McKinsey) FIG 2: CEOs estimate administrative inefficiency at 40% (Source: PwC) GERGELY OROSZ AND ABI NODA - Measuring Developer Productivity: Real-World Examples Continuing the productivity theme, this is an invaluable resource by Gergely Orosz and Abi Noda in The Pragmatic Engineer newsletter. It provides detail on developer productivity metrics at 17 tech companies including Google, Microsoft, Spotify, and Uber (see summary in FIG 3). FIG 3: Developer productivity metrics at 17 tech companies (Source: Pragmatic Engineer) 2024 HR TRENDS AND PREDICTIONS JASMINE PANAYIDES - Nine Ways to Put HR Trends and Predictions into Practice in 2024 There has been a flood of articles advising what the key HR trends, predictions, and opportunities for 2024 are, but how are HR professionals supposed to make sense of these? In her article for the myHRfuture blog, Jasmine Panayides provides actionable tips on how HR professionals can apply the trends, predictions and opportunities to their work, and their organisations so they can deliver value to the company and the workforce. Jasmine also helpfully summarises the trends/predictions from a variety of sources into one table (see FIG 4), including from: Visier Inc., Gartner, Bernard Marr, UNLEASH, Mercer, and Culture Amp as well as my own 12 Opportunities for HR in 2024 article. FIG 4: Analysis of HR Trends and Predictions for 2024 (Source: myHRfuture) KATARINA BERG - HR Trends for 2024 | GARTNER - 9 Future of Work Trends for 2024 | GLASSDOOR – 2024 Workforce Trends | HUNG LEE - Forecasting 2024 in Recruitment Part 1, Part 2, Part 3, and Part 4 | KEVIN WHEELER - What Does 2024 Hold in Store for Us? | STACIA GARR AND DANI JOHNSON – 2024 Mega Trends and how people leaders should respond (Webinar) The deluge of commentators offering their HR trends and opportunities continued in January. As such, it is a challenge to sort the wheat from the chaff but in addition to those I highlighted in this compendium in December, and in Jasmine’s article above, I recommend diving into the following: (1) Spotify’s chief people officer, Katarina Berg, highlights ten trends with the common theme being each trend is a bridge, connecting the past with the future, and HR professionals are the architects crafting these vital links – including “Staying Human in the Age of AI – The Humanity Bridge”. (2) Gartner’s Jordan Turner and Emily Rose McRae highlight nine future of work trends for the year ahead (see FIG 5). (3) Aaron Terrazas and Daniel Zhao identify eight workforce trends based on Glassdoor’s data on workplace satisfaction, culture, and conversations. (4) Hung Lee is at the cutting edge of recruiting and HR tech, so his four-part series on recruiting in 2024 is definitely worth checking out – two examples include: “Multi-generational replaces neurodiversity as DEIB hot topic” and “Capital Allocation Shifts from Sourcing & Engagement to Assessment & Verification Tech”. (5) Futurist Kevin Wheeler offers seven insights and predictions together with his self-assessed certainty rating including “Generative AI will dominate, and every product will attempt to incorporate AI. 90% certainty” and “More firms will embrace a four-day workweek 50% certainty”. (6) Finally, I strongly recommend viewing the 2024 Mega Trends webinar hosted by Stacia Sherman Garr and Dani Johnson for RedThread Research, which breaks down the key macro factors impacting the world of work and how HR can respond. FIG 5: 9 Future of Work Trends for 2024 (Source: Gartner) GREG NEWMAN - 10 important topics that HR will likely ignore in 2024 Greg Newman takes an alternative, wry and contrarian approach by focusing his list of “predictions” on ten things most HR teams will continue to ignore in 2024. My favourite three are: (1) speaking the language of the business, (2) focusing AI conversations on ethics before technology, and (3) learning that good data is required to realise the dreams of AI and analytics. By aligning HR language with business terminology, we can more effectively demonstrate the value of our initiatives in a way that resonates with business stakeholders. GENERATIVE AI AND THE FUTURE OF WORK ELLYN SHOOK AND PAUL DAUGHERTY - Work, workforce, workers: Reinvented in the age of generative AI A new study from Accenture, co-authored by Ellyn Shook and Paul Daugherty, on how generative AI is impacting work, provides guidance on how leaders can: “Set and guide a vision to reinvent work, reshape the workforce and prepare workers for a generative AI world, while building a resilient culture to navigate continuous waves of change.” The report reveals a trust gap between workers and leaders on key elements related to GAI’s impact on work, the workforce, and workers. The authors also highlight four accelerators for leaders to navigate the journey ahead: (1) Lead and learn in new ways, (2) Reinvent work, (3) Reshape the workforce (see example in FIG 6), and (4) Prepare workers. FIG 6: Illustrative example of how work and roles can be reallocated in a GAI future (Source: Accenture) ROGER W. HOERL AND THOMAS C. REDMAN - What Managers Should Ask About AI Models and Data Sets The decision on whether to deploy AI models within an organisation ultimately lies with business leaders who may not be qualified to identify risks and weaknesses related to AI models and data sets. In their article, Roger Hoerl and Tom Redman provide (1) A framework (see FIG 7) designed to equip leaders with context and based on their concept of the right data. (2) A set of six questions for leaders to ask their AI model developers before and during modelling work and deployment. (3) Guidance for leaders on how to assess AI model developers’ answers to those six questions. FIG 7: The Right Data Framework (Source: Roger W. Hoerl and Thomas C. Redman) PEOPLE ANALYTICS STEVE HATFIELD, SUE CANTRELL, AND BRAD KREIT - Beyond the quick fix: How workforce data can drive deeper organizational problem-solving The premise of this thoughtful article by Steve Hatfield, Susan Cantrell, and Brad Kreit is that without the right context, even simple measurements can undermine efforts to convert people data into value. They then explore several examples – in the workforce, in the workplace, and in the work – where organisations might be limiting their analysis to the surface level and how deeper analysis can reveal systemic issues that lead to opportunities for transformation. Guidance on three actions leaders can take to help ensure they are not missing important context in their data analysis are provided: (1) Bring data from different domains and sources together for analysis. (2) Make sure you’re measuring what you should—not just what you can. (3) Identify potential biases in data collection algorithms. If organizations want to move beyond quick fixes and use work and workforce data to drive deeper—and often more challenging—problem-solving, it is important that they look at the data in context. NAOMI VERGHESE - How to Measure the Value of People Analytics My Insight222 colleague Naomi Verghese digs how to measure the commercial value of people analytics, highlighting a powerful case study from Jaesun HA and LG Electronics. Naomi provides detail on four key areas where people analytics adds value (business performance, workforce experiences, driving an analytics culture and societal benefit) as well as providing data on the characteristics of companies that ARE creating commercial value from people analytics (see FIG 8). FIG 8: Characteristics of people analytics that disclosed and measured commercial value of people analytics solutions (Source: Insight222 People Analytics Trends, 2023) ANDRÉS GARCIA AYALA - 5 Change Drivers Impacting People Analytics & How To Thrive In Them | WILLIS JENSEN - Attrition versus Retention: Which Should I Use? | KEITH McNULTY – Regression Modeling in People Analytics: Survival Analysis | LYDIA WU - The Market Sucks and You are Looking for a Job, Now What? | SEBASTIAN SZACHNOWSKI - 16 HR Metrics for IT | ERIN FLEMING AND NICK JESTEADT - People Analytics Perspectives from the Fringe: Current Priorities and a View on Optimized Teams in 2024 January saw a slew of articles from current and recent people analytics leaders, which typically act as a spur and inspiration for the field. Six are highlighted here: (1) Andrés García Ayala highlights some of the key change drivers impacting people analytics and ways to incorporate them into our work. (2) Willis Jensen builds on the recent primer on attrition metrics by Ben Teusch that I highlighted in December’s edition. He explains why we should be using attrition and retention as separate terms that lead to distinct metrics with different objectives (see also FIG 9). (3) Keith McNulty provides another indispensable practical guide for people analysts with a step-by-step tutorial to conducting survival analysis in R. (4) The prolific Lydia Wu turns her attention to providing some handy guidance for those looking for their next people analytics / HR tech role. (5) Sebastian Szachnowski provides a useful breakdown of 16 HR metrics for technology companies. (6) Last but definitely not least, Erin Fleming and Nick Jesteadt provide insights from their survey of fellow people analytics practitioners. Insights include a) 41% of respondents (n=49) operate as a one-person people analytics team, and ii) the main current focus areas of work include employee turnover, cultural engagement, return to office, and restructuring. FIG 9: When to use Attrition and Retention (Source: Willis Jensen) MAX BLUMBERG - The Big List of GPTs to Revolutionize Your People Processes | JOHANNES SUNDLO - GenAI for People Analytics Two articles addressing the opportunity for generative AI in the people space. (1) Max Blumberg (JA) ?? sets out 93 potential ways to upgrade your People Processes with AI and GPTs across four categories – workforce planning and strategy, recruitment, learning and development, and employee wellbeing. (2) Johannes Sundlo provides examples of companies using GAI in their people analytics work to support analyses on engagement data, skills, and tailoring training recommendations. GPTs are an amazing tool for scenario planning, forecasting future workforce needs, identifying talent gaps, and developing integrated talent strategies. THE EVOLUTION OF HR AND DATA DRIVEN CULTURE DAVE ULRICH, NORM SMALLWOOD, AND JOE GROCHOWSKI - Why and How to Move HR to an Outside-In Approach When asked the question, “What is the biggest challenge in your job today?” HR professionals will typically provide answers such as: “Build a skills-based organisation” or “Help our employees have a better experience”. As Dave Ulrich, Norm Smallwood, and Joe Grochowski write, these answers would be far more powerful when a “so that” is applied e.g. “Help employees have a better experience so that customer experience improves.” The article demonstrates that greater value is created with an outside-in approach that starts with the needs of external stakeholders (customers, investors, community) and then figuring out the implications inside the company for meeting those needs. Dave, Norm, and Joe also present their Human Capability Framework and a tool that provides an assessment of an organisation’s outside-in performance (see FIG 10). FIG 10: Human capability from the outside-in - diagnostic questions (Source: Dave Ulrich et al) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS AMY WEBB - Bringing True Strategic Foresight Back to Business In her article for Harvard Business Review, Amy Webb defines strategic foresight as “a disciplined and systematic approach to identify where to play, how to win in the future, and how to ensure organizational resiliency in the face of unforeseen disruption.” Her article also advocates for the integration of strategic foresight as a core competency in every organisation, regardless of size. Moreover, Amy provides guidance on how to operationalise strategic foresight by unveiling a ten-step process. Read alongside another article authored by Amy for HBR: How to Do Strategic Planning Like a Futurist, which includes Amy’s Futurist’s Framework for Strategic Planning (see FIG 11). FIG 11: A Futurist’s Framework for Strategic Planning (Source: Amy Webb) WORLD ECONOMIC FORUM AND PwC - Putting Skills First: Opportunities for Building Efficient and Equitable Labour Markets As the introduction to this compelling collaboration between the World Economic Forum and PwC begins: “Skills and talent shortages are critical challenges facing societies and economies today. The absence of relevant skills impedes business growth, hinders economic prosperity, and inhibits individuals from realizing their full potential.” The report identifies five specific opportunities for intervention where the gains from skills-first solutions are most likely for employers and workers alike (see ‘Skills-first Framework’ in FIG 12). Additionally, the report also showcases 13 Skills First “Lighthouses”, including IBM, Siemens, Standard Chartered and Sanofi. It concludes by offering key takeaways regarding six success factors in implementing skills-first approaches including (1) Sponsorship from leadership, (2) Alignment with business needs, and (3) Data and evaluation for iteration. (Authors: Genesis Elhussein, Mark Rayner, Aarushi Singhania, Saadia Zahidi, Peter Brown MBE, Miral Mir, and Bhushan Sethi). A cultural shift to skills-first approaches needs both sponsorship from executives and governance from human-resources professionals FIG 12: Skills-first Framework (Source: World Economic Forum PETER SHEPPARD - Learning from our Skills Journey | BEN AUTY - What are the new skills people will need for the future of work? | TANUJ KAPILASHRAMI - How Standard Chartered is Unlocking the Power of Skills in the Workplace Many of the organisations we work with at Insight222 have embarked on the road to becoming a skills-based organisation. It is not an easy journey, so it is helpful to learn from other companies who are treading this path. Three of these are Ericsson, Lloyds Banking Group, and Standard Chartered. (1) In his article, Peter Sheppard shares learnings from Ericsson’s skills journey including a) it’s not jobs or skills; it’s skills and jobs, b) it’s a whole organisation activity, c) Less is more with skills, and d) Data drives value. (2) Ben Auty shares insights as to why Lloyds Banking Group is developing a learning culture to build the workforce of the future at the bank, the main skills they are focusing on, and the central role the recently established Reskilling Team is playing. (3) Tanuj Kapilashrami shares how Standard Chartered catalysed their work on skills by identifying adjacencies between ‘sunset’ and ‘sunrise’ roles. We looked at skills adjacencies between ‘sunset’ jobs and ‘sunrise’ jobs: so, what are the jobs that are going to go away? What are the skills that help employees get reskilled into some of these sunrise jobs? We ran five proofs of concept, we showed some real redeployment opportunities and started making the skills narrative real. EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING JENNIFER E. SIGLER WITH STEPHANIE DENINO - So Many Stakeholders, So Little Time: State of EX 2023-2024 The fifth annual State of EX study authored by Jennifer E. Sigler, PhD on behalf of The EXchange, Inc, TI PEOPLE and FOUNT Global, Inc. is a treasure chest of insights on the fast-evolving practice of employee experience. It highlights the top four priorities for EX as: (1) Redesigning experiences, (2) Getting broader buy-in for EX work across the organisation, (3) Building an EX roadmap for the organisation, and (4) Getting more / better data. One other standout finding from the study suggests that senior leaders are increasingly focused on EX with a majority of respondents (63%) saying their organisation’s senior leaders view EX as equal to or even more important than other corporate priorities. This bodes well for the future of EX. Thanks to Stephanie Denino and Volker Jacobs for highlighting the study. FIG 13: EX Team Priorities YOY Change (Source: The EXchange, TI People and FOUNT Global, Inc) LEADERSHIP AND CULTURE NADJIA YOUSIF, ASHLEY DARTNELL, GRETCHEN MAY, AND ELIZABETH KNARR - Psychological Safety Levels the Playing Field for Employees | PETER CAPPELLI AND LIAT ELDOR - Can Workplaces Have Too Much Psychological Safety? Two perspectives on psychological safety in the workplace. In the first article, Nadjia Yousif, Ashley Dartnell, Gretchen May, and Elizabeth Knarr present the findings of Boston Consulting Group (BCG) research, which finds how psychological safety benefits inclusion, reduces attrition in diverse groups and effectively acts as an equaliser - enabling diverse and disadvantaged employee groups to achieve the same levels of workplace satisfaction as their more advantaged colleagues. The study also highlights the direct relationship between empathetic leadership and feelings of psychological safety in the workforce, giving leaders a clear directive to be empathetic and thereby engender psychological safety. The second article by Peter Cappelli and Liat Eldor presents research that found that when you move from average to high levels of psychological safety, performance in routine jobs actually declined. FIG 14: Psychological safety has an outsize impact on retention for diversity groups (Source: BCG) RASMUS HOUGAARD, JACQUELINE CARTER, AND ROB STEMBRIDGE - The Best Leaders Can’t Be Replaced by AI While there are some areas where AI is already surpassing or will surpass human capabilities, there are several it cannot replace. Based on their research into employees’ comfort with AI in management, as well as their decades of research on the qualities of effective leadership, Rasmus Hougaard, Jacqueline Carter, and Robert Stembridge identify the promise (and perils) of AI-enabled management (see FIG 15), as well as the three uniquely human capabilities leaders need to focus on honing, especially as AI begins to figure more in management: (1) awareness, (2) compassion, and (3) wisdom. For more from Rasmus, I recommend listening to his podcast discussion with me: How To Be a More Compassionate Leader. Leaders who deepen their ability to lead with humanity will win at attracting, retaining, developing, and motivating top talent. FIG 15: AI versus Human: A matric of leadership activities (Source: Potential Project) DIVERSITY, EQUITY, INCLUSION, AND BELONGING JULIE COFFMAN, ALEX NOETHER, BIANCA BAX, CASSY REICHERT, AND KRYSTLE JIANG - The Business of Belonging: Why making everyone feel included is smart strategy Revealing data from a Bain survey of 6,000+ employees across four countries, which finds employees who have seen their companies intentionally invest in inclusion since 2020 are three times more likely to feel fully included than employees who have not seen such investment from their employers. Other findings include (1) Combining diversity and inclusion maximises a company’s capacity (by 4x) to innovate, and (2) Employees with inclusive leadership are 9x more likely to feel fully included at work (see FIG 16). (Authors: Julie Coffman, Alex Noether, Bianca Bax, Cassy Reichert, and Krystle Jiang). FIG 16: Employees with inclusive leadership are 9x more likely to feel fully included at work (Source: Bain) SHUJAAT AHMAD - DEIB Is At A Crossroads—It’s Time for Bold Action and Clear Metrics Given recent developments it’s reasonable to say that Diversity, Equity, Inclusion, and Belonging (DEIB) is at an existential crossroads. As Shujaat Ahmad writes in his excellent article for Round: “Boards, leadership teams, and investors hold the power to set the tone, shape the policies, and allocate the resources to support DEIB initiatives: for DEIB to work effectively, they must shift from well-intentioned wordsmiths to committed drivers that hold the organization accountable for outcomes and positive change.” Shujaat then unveils his blueprint to help leaders assess progress and drive meaningful change, clarifying the ‘why’ before diving into the ‘how’ covering measuring what matters and interventions (see FIG 17). For more from Shujaat, I recommend visiting Belong and Lead. FIG 17: Source – Shujaat Ahmad HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from January that I recommend readers delve into: ERNEST NG - If the Pitch is Too Smooth, It Probably Is: Why AI in HR is Difficult – Part 2 of an insightful essay from Ernest Ng, PhD of HiredScore (see also Part 1 on disclosures here) where he cuts through the hype to assess how we should be implementing AI in HR. LOUJAINA ABDELWAHED - A Tale of Two Cultures - In One Company - Loujaina Abdelwahed, PhD from Revelio Labs highlights the growing disparity between junior and senior employees (see FIG 18) and identifies the factors causing this malaise. Thanks to Ben Zweig for highlighting. FIG 18: The growing disparity in sentiment between junior and senior employees (Source: Revelio Labs) JEREMIE BRECHEISEN - Where Employees Think Companies’ DEIB Efforts Are Failing – Jeremie K Brecheisen presents findings from Gallup that reveals a disconnect between how well employees and HR leaders believe their organisations are doing when it comes to diversity, equity, inclusion, and belonging: 84% of CHROs say their organisations are increasing investment in DEIB, while only 31% of employees say their organisation is committed to improving racial justice or equity in their workplace (see FIG 19). The article then outlines ten needs employees say are not being met and then offers strategies to help organisations address the disconnect. FIG 19: How employees and HR leaders differ on perceptions of DEIB progress (Source: Gallup) FRANCISCO MARIN - Navigating the ONA Landscape: Trends and Challenges for 2024 - Another good read from Cognitive Talent Solutions, as Francisco Marin explores the key trends and challenges shaping the ONA space in 2024. IAN WHITE - The three C’s of effective performance management – Ian White, CEO at ChartHop, presents the three C’s of performance management — continuous, contextual and cultural — designed to help companies understand their employees more holistically. CHRISTINA JANZER - The surprising connection between after-hours work and decreased productivity – Christina Janzer presents findings from Slack’s Workforce Index, which identifies findings on how to structure the workday to maximise employee productivity, well-being and satisfaction – including the connection between after hours work and decreased productivity. FIG 20: Source – Slack PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): AMY EDMONDSON AND LAURIE RUETTIMANN – Right Kind of Failure – Amy Edmondson joins Laurie Ruettimann on the brilliantly named Punk Rock HR to explore the essential role of failure in our professional and personal growth. STACIA GARR, COLE NAPPER, AND SCOTT HINES - People Analytics & HR Tech Research by Industry Analysts – Stacia Sherman Garr, one of the industry’s top analysts, joins Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss the research Stacia and her team at RedThread Research do in the people analytics and HR technology space. RICHARD ROSENOW, MADDIE GRANT, AND SANJA LICINA - How to Build an Integrated Framework for Workforce Listening – In an episode of the Empowering Workplaces podcast, Richard Rosenow joins hosts Maddie Grant and Sanja Licina, Ph.D. to talk about The Three Channels of Workforce Information: conversations (“what people say”), surveys (“what people say they do”) and systems (“what people do”) as a way to build a comprehensive understanding of your workforce. McKINSEY - The shape of talent in 2023 and 2024 - In this episode of McKinsey Talks Talent, Bryan Hancock, Brooke Weddle and host Lucia Rahilly highlight the trends that shaped last year’s talent landscape—and those poised to ‘redefine its contours’ yet again in 2024. MATTHEW BIDWELL AND DAN LONEY – Forecasting 2024 Workplace Trends – Wharton Professor and convenor of the Wharton People Analytics Conference, Matthew Bidwell, joins host of the Wharton Business Daily Dan Loney to look at the year ahead in the workplace. VIDEO OF THE MONTH CHRIS LOUIE, TOMAS CHAMORRO-PREMUZIC, TERRI HORTON, AND LINDSEY SHINTANI - Power a dynamic workforce by embracing AI An enlightening panel discussion from the recent LinkedIn Talent Connect where Chris Louie, Dr Tomas Chamorro-Premuzic, Terri Horton, EdD, MBA, MA, SHRM-CP, PHR, and Lindsey Shintani discuss how AI is changing learning and career paths. They provide guidance on how to overcome AI anxiety and empower impactful futures. BOOK OF THE MONTH KEVIN WHEELER AND BAS VAN DE HATERD – Talent Acquisition Excellence An excellent new book published by Kogan Page and authored by Kevin Wheeler and Bas van de Haterd (He/His/Him). It provides an insightful and detailed analysis of how technologies such as artificial intelligence and machine learning in combination with analytics can improve talent acquisition and recruitment. RESEARCH REPORT OF THE MONTH YUYE DING AND MARK (SHUAI) MA - Return-to-Office Mandates A huge thank you to Nick Bloom for bringing my attention to this paper from Yuye Ding and Mark Ma, which studied the impact of 137 Return to Office mandates on the performance of S&P500 firms from 2020-2023. The key findings, as summarised by Nick, are illuminating: (1) RTO mandates are more likely in firms with poor recent stock performance, and in those with powerful male CEOs. (2) Glassdoor data finds RTO mandates significantly reduce employee ratings for job satisfaction, work-life balance, and senior management. (3) There is no significant impact of RTO mandates on either firm profitability or firm stock-returns. FIG 21: Distribution of firms’ RTO mandates (Source: Yuye Ding and Mark Ma) FROM MY DESK January saw the first three episodes of Series 36 of the Digital HR Leaders podcast, sponsored by our friends at ScreenCloud. Thank you to Luke Farrugia. DAVID GREEN - The best 60 HR & People Analytics articles of 2023 Part 1 | Part 2 – My tenth annual collection of HR and people analytics resources is spread across two articles and ten themes. Part 1 covers i) the future of work and people strategy, ii) workplace design and strategy, iii) AI and the world of work, iv) people analytics, and v) employee experience, listening and wellbeing. Part 2 covers: vi) the evolution of HR, HR operating models and the CHRO, vii) building a data driven culture in HR, viii) workforce planning, skills, and talent marketplace, ix) leadership and culture, and x) diversity, equity, inclusion and belonging. THOMAS RASMUSSEN, DAWN KLINGHOFFER, AND JEREMY SHAPIRO - HR in 2024: The Impact of People Analytics, AI & ML – In a special episode of the Digital HR Leaders podcast to kick off 2024, I was joined by Thomas Rasmussen, Dawn Klinghoffer, and Jeremy Shapiro to discuss the outlook for HR and people analytics in the coming 12 months. SERENA HUANG - How to Enhance Your Career in People Analytics - Serena H. Huang, Ph.D., who has led people analytics functions at companies including GE, PayPal and Kraft Heinz, joins me to discuss the common career paths observed in the people analytics field and how they have evolved over the years. KAZ HASSAN AND LUKE FARUGGIA - How to Bridge the Gap Between Customer and Employee Experience - What can HR learn from marketing's journey in using data, analytics and technology to understand and personalise the customer experience? How can we leverage these insights in HR to boost our employee experience initiatives? Kaz Hassan and Luke Faruggia join me to discuss these topics and more. THANK YOU Finally, this month I’d like to thank: Recruit CRM for nominating me as ‘The People Analytics Pioneer’ in their list of 50 Recruitment Influencers to Follow in 2024 Likewise, a huge thank you to 365Talents for including me as one of the Top 50 HR Influencers to Follow in 2024 Similarly, thanks to HRCap, Inc. for including me in their list of 10 HR Influencers who Provide Remarkable Insights The Social Craft (here) and The Talent Games (here) for also including me in their lists of HR and HR Tech leaders to follow. HRDConnect for quoting me in their article Data Literacy: A must-have for HR professionals in 2024. Gianni Giacomelli for including the Data Driven HR monthly in his list of seven must-read newsletters. HR Geckos for including Excellence in People Analytics as a book recommendation in their HR Bytes Newsletter for January 2024. Sebastian Szachnowski for including Excellence in People Analytics in his list of books to get better at people analytics. Leapsome for including the Digital HR Leaders podcast as one of its Top 10 HR Podcasts for 2024. Similarly, Alexandre Darbois for also including the Digital HR Leaders podcast as one of his 5 HR Podcasts. Melissa Meredith for using my 12 Opportunities for HR in 2024 article to highlight the importance of the HR-Finance partnership in building a thriving company. Bill Brown for also highlighting my 12 Opportunities for HR in 2024 article in his Eleven Trends Transforming the Future of Work in 2024. Mirro.io for including me as a contributor in their list of 15 HR Trends for 2024. Dhanesh K for including as one of his 10 Top HR Leaders to Follow. Lanteria HR for recommending me as one of their HR Experts to Follow in 2024. Semos Cloud for including my 12 Opportunities for HR in 2024 as part of their round-up of HR insights. Thomas Kohler for including my Best HR and People Analytics Articles of 2023 in their collection of HR resources to read. Thinkers360 for including me in their Top Voices EMEA 2023. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. SEE ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024: Feb 21 - Discover how Leading Companies shift People Analytics from insight to impact (Webinar) Feb 28 - People Analytics World 2024: Exploring the Potential of Analytics and AI in Employee Experience (Zurich) March 4-6 - Gloat Live! (New York) March 14-15 - Wharton People Analytics Conference (Philadelphia) April 24-25 - People Analytics World (London) May 7-9 - UNLEASH America (Las Vegas) September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program October 16-17 - UNLEASH World (Paris) More events will be added as they are confirmed.
    generative AI
    2024年03月02日
  • generative AI
    How Generative AI Adds Value to the Future of Work 这篇Upwork的文章深入探讨了生成式人工智能（AI）在重新塑造工作价值方面的变革力量，强调了自动化和创新不仅改变了工作岗位，还在各个行业提高了生产力和创造力。文章着重讨论了对劳动力市场的细微影响，强调了技能发展和道德考虑的重要性，并对人工智能与人类合作的未来提供了前瞻性的视角。 Authors:  Dr. Ted Liu, Carina Deng, Dr. Kelly Monahan Generative AI’s impact on work: lessons from previous technology advancements In this study, we provide a comprehensive analysis of the initial impact of generative AI (artificial intelligence) on the Upwork marketplace for independent talent. Evidence from previous technological innovations suggests that AI will have a dual impact: (1) the displacement effect, where job or task loss is initially more noticeable as technologies automate tasks, and (2) the reinstatement effect, where new jobs and tasks increase earnings over time as a result of the new technology. Take for example the entry of robotics within the manufacturing industry. When robotic arms were installed along assembly lines, they displaced some of the tasks that humans used to do. This was pronounced in tasks that were routine and easy to automate. However, new tasks were then needed with the introduction of robotics, such as programming the robots, analyzing data, building predictive models, and maintaining the physical robots. The effects of new technologies often counterbalance each other over time, giving way to many new jobs and tasks that weren’t possible or needed before. The manufacturing industry is now projected to have more jobs available as technologies continue to advance, including Internet of Things (IoT), augmented reality, and AI, which transform the way work is completed. The issue now at hand is ensuring enough skilled workers are able to work alongside these new technologies. While this dynamic of displacement and reinstatement generally takes years to materialize, as noted above in the manufacturing example, the effects of generative AI may be taking place already on Upwork. For the platform as a whole, we observe that generative AI has increased the total number of job posts and the average spend per new contract created. In terms of work categories, generative AI has reduced demand in writing and translation, particularly in low-value work, while enhancing earnings in high-value work across all groups. In particular, work that relies on this new technology like Data Science and Analytics are reaping the benefits. The report highlights the importance of task complexity and the skill-biased nature of AI's impact. Skills-biased technology change is to be expected as the introduction of new technologies generally favors highly skilled workers. We observe this on our platform as high-skill freelancers in high-value work are benefiting more, while those in low-value work face challenges, underscoring the need for skilling and educational programs to empower freelancers to adapt and transition in this evolving work landscape. Understanding the lifecycle of work on Upwork and the impact of gen AI Generative AI has a growing presence in how people do their work, especially since the public release of ChatGPT in 2022. While there’s been extensive discussion about the challenges and opportunities of generative AI, there is limited evidence of such impact based on transaction data in the broader labor market. In this study, we use Upwork’s platform data to estimate the short-term effects of generative AI on freelance outcomes specifically. The advantage of the Upwork platform is that it is in itself a complete marketplace for independent talent, as we observe the full life cycle of work: job posts, matching, work execution, performance reviews, and payment. Few other instances exist where a closed-system work market can be studied and observed. Thus, the results of this study offer insights into not only the online freelance market, but also the broader labor market. How technological progress disrupts the labor market is not a new topic. Acemoglu and Restrepo (2019) argue that earning gain arises from new tasks created by technological progress, which they term the “reinstatement effect,” even if the automation of certain tasks may have a displacement effect in the labor market initially. What this means is that there may be a dynamic effect going on: the displacement effect (e.g., work loss) may be more noticeable in the beginning of a new technology entry, but as new jobs and tasks are being created, the reinstatement effect (e.g., rates increase, new work) will begin to prevail. In the broader labor market, such dynamics will likely take years to materialize. But in a liquid and active independent work marketplace like Upwork, it’s possible that we’re already observing this transition happening. Existing studies such as this provides a useful conceptual framework to think about the potential impact of generative AI. It’s likely that in the short term, the replacement of generative AI will continue to be more visible, not just at Upwork, but also in the broader labor market. Over time and across work categories, however, generative AI will likely spur new tasks and jobs, leading to the reinstatement effect becoming stronger and increasing rates for those occupations with new tasks and a higher degree of task complexity. We’ve already seen evidence of new demand as a result of gen AI on our Upwork platform, with brand new skill categories like AI content creator and prompt engineer emerging in late 2022 and early 2023. We test this hypothesis of both work displacement and reinstatement, and provide insights into how generative AI affects work outcomes. Impact of generative AI on work To understand the short-term impact of generative AI on the Upwork freelance market, we capitalize on a natural experiment arising from the public release of ChatGPT in November 2022. Because this release was largely an unanticipated event to the general public, we’re able to estimate the causal impact of generative AI. The essential idea behind this natural experiment is that we want to compare the work groups affected by AI with the counterfactual in which they are not. To implement this, we use a statistical and machine-learning method called synthetic control. Synthetic control allows us to see the impact that an intervention, in this case, the introduction of gen AI, has on a group over time by comparing it to a group with similar characteristics not exposed to the intervention. The advantage of this approach is that it allows us to construct reasonably credible comparison groups and observe the effect over time. The units of analysis we use are work groups on the Upwork platform; we analyze variables such as contract number and freelancer earnings. Instead of narrowly focusing on a single category like writing, we extend the analysis to all the major work groups on Upwork. Moreover, we conduct additional analysis of the more granular clusters within each major group. The synthetic control method allows for flexibility in constructing counterfactuals at different levels of granularity. The advantage of our comprehensive approach is that we offer a balanced view of the impact of generative AI across the freelance market. Generative AI’s short-term impact on job posts and freelancer earnings Looking at the platform as a whole, we observe that generative AI has increased the total number of job posts by 2.4%, indicating the overall increased demand from clients. Moreover, as shown in Figure 1, for every new job contract, there is an increase of 1.3% in terms of freelancer earnings per contract, suggesting a higher value of contracts. Figure 1 Effect of Generative AI on Freelancer Earning per Contract The Upwork platform has three broad sectors: 1. Technological and digital solutions (tech solutions); 2. Creative & outreach; 3. Business operations and consulting. We have observed both positive and negative effects within each of the sectors, but two patterns are worth noting: The reinstatement effect of generative AI seems to be driving growth in freelance earnings in sectors related to tech solutions and business operations. In contrast, within the creative sector, while sales and marketing earnings have grown because of AI, categories such as writing and translation seem disproportionately affected more by the replacement effect. This is to be expected due to the nature of tasks within these categories of work, where large language models are now able to efficiently process and generate text at scale. Generative AI has propelled growth in high-value work across the sectors and may have depressed growth in low-value work. This supports a skills-biased technology change argument, which we’ve observed throughout modern work history. More specifically and within tech solutions, data science & analytics is a clear winner, with over 8% of growth in freelance earnings attributed to generative AI. This makes sense as the reinstatement effect is at work; new work and tasks such as prompt engineering have been created and popularized because of generative AI. Simultaneously, while tools such as ChatGPT automate certain scripting tasks (therefore leading to a replacement effect), it mainly results in productivity enhancements for freelancers and potentially leads to them charging higher rates and enjoying higher overall earnings per task. In terms of contracts related to business operations, we observe that accounting, administrative support, and legal services all experience gains in freelance earnings due to generative AI, ranging from 6% to 7%. In this sector, customer service is the only group that has experienced reduced earnings (-4%). The reduced earnings result for customer service contracts is an example of the aggregate earnings outcomes of AI, related to the study by Brynjolfsson et al (2023), who find that generative AI helps reduce case resolution time at service centers. A potential outcome of this cut in resolution time is that service centers will need fewer workers, as more tasks can be completed by a person working alongside AI. At the same time, the reinstatement effect has not materialized yet because there are no new tasks being demanded in such settings. This may be an instance where work transformation has not yet been fully realized, with AI enabling faster work rather than reinventing a way of working that leads to new types of tasks. A contrasting case is the transformation that happened with bank tellers when ATMs were introduced. While the introduction of these new technologies resulted in predictions of obsolete roles in banks, something different happened over time. Banks were able to increase efficiency as a result of ATMs and were able to scale and open more branches than before, thereby creating more jobs. In addition, the transactional role of a bank teller became focused on greater interpersonal skills and customer relationship tasks. When taken together, the overall gains in such business operations work on Upwork are an encouraging sign. These positions tend to require relatively intensive interpersonal communication, and it seems the short-term effects of generative AI have helped increase the value of these contracts, similar to what we saw in the banking industry when ATMs were introduced. As of now, the replacement effect of AI seems more noticeable in creative and outreach work. The exception is sales and marketing contracts, which have experienced a 6.5% increase in freelance earnings. There is no significant impact yet observed on design. For writing and translation, however, generative AI seems to have reduced earnings by 8% and 10% respectively. However, as we will discover, task complexity has a moderating effect on this. High-value work benefit from generative AI, upskilling needed for low-value work Having discussed the overall impact of generative AI across categories, we now decompose the impact by values. The reason we’re looking at the dimension of work value is that there may be a positive correlation between contract value and skill complexity. Moreover, skill complexity may also be positively correlated with skill levels. Essentially, by evaluating the impact of AI by different contract values, we can get at the question of AI's impact by skill levels. This objective is further underscored by a discrepancy that sometimes exists in the broader labor markets – a skills gap between demand and supply. It simply takes time for upskilling to take place, so it’s typical for demand to exceed supply until a more balanced skilled labor market takes place. It is worth noting, however, freelancers on the Upwork platform seem more likely than non-freelancers to acquire new skills such as generative AI. For simplicity, let’s assume that the value of contracts is a good proxy for the level of skill required to complete them. We’d then assume that high-skill freelancers typically do high-value work, and low-skill freelancers do low-value work. In other words, our goal is also to understand whether the impact of generative AI is skills-biased and follows a similar pattern from what we’ve seen in the past with new technology disruptions. Note that we’re focusing on the top and bottom tails of the distribution of contract values, because such groups (rather than median or mean) might be most susceptible to displacement and/or reinstatement effects, therefore of primary concern. We define high-value (HV) work as those with $1,000 or more earnings per contract. For the remaining contracts, we focus on a subset of work as low-value (LV) work ($251-500 earnings). Figure 2 shows the impact of AI by work value, across groups on Upwork. As we discussed before, writing and translation work has experienced some reduction in earnings overall. However, if we look further into the effect of contract value, we see that the reduction is largely coming from the reduced earnings from low-value work. At the same time, for these two types, generative AI has induced substantial growth in high-value earnings – the effect for translation is as high as 7%. We believe the positive effect on translation high-value earning is driven by more posts and contracts created. In the tech solutions sector, the growth in HV earnings in data science and web development is also particularly noticeable, ranging from 6% to 9%. Within the business solutions sector, administrative support is the clear winner. There are two takeaways from this analysis by work value. First, while we’re looking at a sample of all the contracts on the platform, it’s possible that the decline of LV work is more than made up for by the growth of HV work in the majority of the groups. In other words, except for select work groups, the equilibrium results for the Upwork freelance market overall seem to be net positive gains from generative AI. Second, if we assume that freelancers with high skills (or a high degree of skill complexity) tend to complete such HV work (and low-skill freelancers do LV work), we observe that the impact of generative AI may be biased against low-skill freelancers. This is an important result: In the current discussion of whether generative AI is skill-based, there exists limited evidence based on realized gains and actual work market transactions. We are one of the first to provide market-transaction-based evidence to illustrate this potentially skill-biased impact. Finally, additional internal Upwork analysis finds that independent talent engaged in AI-related work earn 40% more on the Upwork marketplace than their counterparts engaged in non-AI-related work. This suggests there may be additional overlap between high-skill work and AI-related work, which can further reinforce the earning potential of freelancers in this group. Figure 2 Case study: 3D content work To illustrate the impact of generative AI in more depth, we have conducted a case study of Engineering & Architecture work within the tech solutions sector. The reason is that we want to illustrate the potentially overlooked aspects of AI impact, compared with the examples of data science and writing contracts. This progress in generative AI has the potential to reshape work in traditional areas like design in manufacturing and architecture, which rely heavily on computer-aided design (CAD) objects, and newer sectors such as gaming and virtual reality, exemplified by NVIDIA's Omniverse. Based on activities on the Upwork platform, we see that there is consistent growth of job posts and client spending in this category, with up to 12% of gross service value growth year over year in 2023 Q3, and over 11% in job posts during the same period. Moreover, applying the synthetic control method, we show a causal relationship between gen AI advancements and the growth in job posts and earnings per contract. More specifically, there is a significant increase in overall earnings because of AI, an average 11.5% increase. Additionally, as shown by Figure 3, the positive effect also applies to earning per contract. This indicates a positive impact on freelancer productivity and quality of work, due to the fact that we’re measuring the income for every unit of work produced. This suggests that gen AI is not just a facilitator of efficiency but also enhances the quality of output. ‍Figure 3 Effect of Generative AI on Freelancer Earning per Contract in EngineeringIn a traditional workflow to create 3D objects without generative AI, freelancers would spend extensive time and effort to design the topology, geometry, and textures of the objects. But with generative AI, they can do so through text prompts to train models and generate 3D content. For example, this blog by NVIDIA’s Omniverse team showcases how ChatGPT can interface with traditional 3D creation tools. Thus, the positive trajectory of generative AI in 3D content generation we see is driven by several factors. AI significantly reduces job execution time, allowing for higher productivity. It facilitates the replication and scaling of 3D objects, leading to economies of scale. Moreover, freelancers can now concentrate more on the creative aspects of 3D content, as AI automates time-consuming and tedious tasks. This shift has not led to a decrease in rates due to the replacement effect. In fact, this shift of workflow may create new tasks and work. We will likely see a new type of occupation in which technology and humanities disciplines converge. For instance, a freelancer trained in art history now has the tools to recreate a 3D rendering of Japan in the Edo period, without the need to conduct heavy coding. In other words, the reinstatement effect of AI will elevate the overall quality and value proposition of the work, and ultimately enable higher earning gains. This paradigm shift underscores generative AI's role in not just transforming work processes but also in creating new economic dynamics within the 3D content market. Fortunately, it seems many freelancers on Upwork are ready to reap the benefits: 3D-related skills, such as 3D modeling, rendering, and design, are listed among the top five skills of freelancer profiles as well as in job posts. A dynamic interplay: task complexity, skills, and gen AI Focusing on the Upwork marketplace for independent talent, we study the impact of generative AI by using the public release of ChatGPT as a natural experiment. The results suggest a dynamic interplay of replacement and reinstatement effects; we argue that this dynamic is influenced by task complexity, suggesting a skill-biased impact of gen AI. Analysis across Upwork's work sectors shows varied effects: growth in freelance earnings in tech solutions and business operations, but a mixed impact in the creative sector. Specifically, high-value work in data science and business operations see significant earnings growth, while creative contracts like writing and translation experience a decrease in earnings, particularly in lower-value tasks. Using the case study of 3D content creation, we show that generative AI can significantly enhance productivity and quality of work, leading to economic gains and a shift toward higher-value tasks, despite initial concerns of displacement. Acemoglu and Restrepo (2019) argue that the slowdown of earning growth in the United States the past three decades can partly be explained by new technologies’ replacement effect overpowering the reinstatement effect. But with generative AI, we’re at a point of completely redefining what human tasks mean, and there may be ample opportunities to create new tasks and work. It's evident that while high-value types of work are being created, freelancers engaged in low-value tasks may face negative impact, possibly due to a lack of skills needed to capitalize on AI benefits. This situation underscores the necessity of supporting freelancers not only in elevating their marketability within their current domains but also in transitioning to other work categories. To ensure as many people as possible benefit, there’s an imperative need to provide educational resources for them to gain the technical skills, and more importantly skills of adaptability to reinvent their work. This helps minimize the chance of missed opportunities by limiting skills mismatch between talent and new demands created by new technologies. Upwork has played a significant role here by linking freelancers to resources such as Upwork Academy’s AI Education Library and Education Marketplace, thereby equipping them with the necessary tools and knowledge to adapt and thrive in an AI-present job market. This approach can help bridge the gap between low- and high-value work opportunities, ensuring a more equitable distribution of the advantages brought about by generative AI. Methodology To estimate the causal impact of generative AI, we take a synthetic control approach in the spirit of Abadie, Diamond, and Hainmueller (2010). The synthetic control method allows us to construct a weighted combination of comparison units from available data to create a counterfactual scenario, simulating what would have happened in the absence of the intervention. We use this quasi-experimental method due to the infeasibility of conducting a controlled large-scale experiment. Additionally, we use Lasso regularization to credibly construct the donor pool that serves the basis of the counterfactuals and minimize the chance of overfitting the data. Moreover, we supplement the analysis by scoring whether a sub-occupation is impacted or unaffected by generative AI. The scoring utilizes specific criteria: 1. Whether a certain share of job posts are tagged as AI contracts by the Upwork platform; 2. AI occupational exposure score, based on a study by Felten, Raj, and Seamans (2023), to tag these sub-occupations. We also use data smoothing techniques through three-month moving averages. We analyzed data collected on our platform from 2021 through Q3 2023. We specifically look at freelancer data across all 12 work categories on the platform for high-value contracts, defined as those with a contract of at least $1,000, and low-value contracts, consisting of those between $251 and under $500. The main advantage of our approach is that it is a robust yet flexible way to identify the causal effects on not only the Upwork freelance market but also specific work categories. Additionally, we control for macroeconomic or aggregate shocks such as U.S. monetary policy in the pre-treatment period. However, we acknowledge the potential biases in identifying which sub-occupations are influenced by generative AI and the effects of external factors in the post-treatment period. About the Upwork Research Institute The Upwork Research Institute is committed to studying the fundamental shifts in the workforce and providing business leaders with the tools and insights they need to navigate the here and now while preparing their organization for the future. Using our proprietary platform data, global survey research, partnerships, and academic collaborations, we produce evidence-based insights to create the blueprint for the new way of work. About Ted Liu Dr. Ted Liu is Research Manager at Upwork, where he focuses on how work and skills evolve in relation to technological progress such as artificial intelligence. He received his PhD in economics from the University of California, Santa Cruz. About Carina Deng Carian Deng is the Lead Analyst in Strategic Analytics at Upwork, where she specializes in uncovering data insights through advanced statistical methodologies. She holds a Master's degree in Data Science from George Washington University. About Kelly Monahan Dr. Kelly Monahan is Managing Director of the Upwork Research Institute, leading our future of work research program. Her research has been recognized and published in both applied and academic journals, including MIT Sloan Management Review and the Journal of Strategic Management.
    generative AI
    2024年02月23日
  • generative AI
    Indeed：生成式人工智能的技能能够带来近 50% 的薪资增长 Indeed的最新报告显示，掌握生成式人工智能（AI）技能的技术工作者平均薪资可达174,727美元，比没有这些技能的竞争者高出47%。随着2023年的职场波动让位给2024年的稳定，企业恢复延期的项目并推进AI实施，对技术人才的需求日益增长。数据科学家、机器学习工程师和软件工程师等角色尤为抢手。报告强调了AI技能在竞争激烈的就业市场中的价值，并指出市场上对AI相关技能的短缺。尽管对提升技能和学习AI技能的兴趣浓厚，但仅有不到四分之一的开发者表示其雇主提供了升级技能或学习AI技能的时间。 根据周三发布的 Indeed 报告，与不具备生成式人工智能技能的求职者相比，进入市场的求职者的平均薪资提高了47%。该公司在其平台上审查了职位发布的薪资数据。 根据该公司的分析，能够胜任生成式人工智能的技术人员的平均薪资预计高达174,727 美元。 生成式人工智能与其他关键技能一起为求职者带来高薪，包括深度学习、计算机视觉以及特定软件语言和框架（如Rust 或 PyTorch ）的知识。 在技术行业，一个新的趋势正在改变就业市场的面貌——掌握生成式人工智能（AI）技能的工作者，其平均薪资相较于其他技术工作者高出将近50%。根据Indeed最新发布的报告，这类技术人才的平均薪资可达174,727美元，显示出市场对于此类技能的极高需求。 随着2023年的职场不确定性逐步平息，2024年迎来了更多的稳定与项目复苏，尤其是在AI实施方面。数据科学家、机器学习工程师及软件工程师等角色变得极其抢手，他们掌握的技能成为了获得高薪的关键。 报告指出，AI技术领域的半数最高薪技能都与AI直接相关，强调了AI技能在激烈的就业市场中的价值。此外，就业市场对于AI相关技能的渴求与可用人才之间存在明显差距，这一点从几乎400,000个活跃的技术职位空缺和对于数据科学家等专业人才的需求中可以看出。 然而，尽管对于提升技能和学习AI技能的需求日益增长，少于四分之一的开发者表示他们的雇主提供了学习或提升这些技能的时间。这揭示了一个问题，即尽管技术行业对于AI技能的需求日益增长，但在培养这些技能方面，企业和教育机构还有很长的路要走。 Indeed的报告不仅仅是一个薪酬调查，它也是对于技术行业未来走向的一个预示。生成式AI技能的价值在不断上升，对于那些希望在职业生涯中获得成功的技术专业人士来说，现在是最好的时机去掌握这些未来技能。 在这个由技术驱动的时代，生成式AI不仅仅是一个工具或者一个概念，它代表了未来的方向和无限的可能性。对于技术工作者而言，掌握这些技能不仅能够带来薪酬上的优势，更能在竞争激烈的就业市场中脱颖而出，成为真正的行业新贵。
    generative AI
    2024年02月22日
  • generative AI
    Autonomous Corporate Learning Platforms: Arriving Now, Powered by AI Josh Bersin 的文章通过人工智能驱动的自主平台介绍了企业学习的变革浪潮，标志着从传统学习系统到动态、个性化学习体验的重大转变。他重点介绍了 Sana、Docebo、Uplimit 和 Arist 等供应商的出现，它们利用人工智能动态生成和个性化内容，满足了企业培训不断变化的需求。Bersin 讨论了跟上多样化学习需求所面临的挑战，以及人工智能解决方案如何提供可扩展的高效方法来管理知识和提高学习效果，并预测了人工智能将从根本上改变教学设计和内容交付的未来。推荐给大家：   Thanks to Generative AI, we’re about to see the biggest revolution in corporate learning since the invention of the internet. And this new world, which will bring together personalization, knowledge management, and a delightful user experience, is long overdue. I’ve been working in the corporate learning market since 1998, when the term “e-learning” was invented. And every innovation since that time has been an attempt to make training easier to build, easier to consume, and more personalized. Many of the innovations were well intentioned, but often they didn’t work as planned. First came role based learning, then competency-driven training and career-driven programs. These worked great, but they couldn’t adapt fast enough. So people resorted to short video, YouTube-style platforms, and then user-authored content. We then added mobile tools, highly collaborative systems, MOOCs, and more recently Learning Experience Platforms. Now everyone is focused on skills-based training, and we’re trying to take all our content and organize it around a skills taxonomy. Well I’m here to tell you all this is about to change. While none of these important innovations will go away, a new breed of AI-powered dynamic content systems is going to change everything. And as a long student of this space, I’d like to explain why. And in this conversation I will discuss four new vendors, each of which prove my point (Sana, Docebo, Uplimit, and Arist). The Dynamic Content Problem: Instructional Design By Machine Let’s start with the problem. Companies have thousands of topics, professional skills, technical skills, and business strategies to teach. Employees need to learn about tools, business strategies, how to do their job, and how to manage others. And every company’s corpus of knowledge is different. Rolls Royce, a company now starting to use Galileo, has 120 years of engineering, technology, and manufacturing expertise embedded in its products, documentation, support systems, and people. How can the company possibly impart this expertise into new engineers? It’s a daunting problem. Every company has this issue. When I worked at Exxon we had hundreds of manuals explaining how to design pumps, pressure vessels, and various refinery systems. Shell built a massive simulation to teach production engineers how to understand geology and drilling. Starbucks has to teach each barista how to make thousands of drinks. And even Uber drivers have to learn how to use their app, take care of customers, and stay safe. (They use Arist for this.) All these challenges are fun to think about. Instructional designers and training managers create fascinating training programs that range from in-class sessions to long courses, simulations, job aids, and podcasts. But as hard as they try and as creative as they are, the “content problem” keeps growing. Right now, for example, everyone is freaked out about AI skills, human-centered leadership, sustainability strategies, and cloud-based offerings. I’ve never seen a sales organization that does quite enough training, and you can multiply that by 100 when you think about customer service, repair operations, manufacturing, and internal operations. While I always loved working with instructional designers earlier in my career, their work takes time and effort. Every special course, video, assessment, and learning path takes time and money to build. And once it’s built we want it to be “adaptive” to the learner. Many tools have tried to build adaptive learning (from Axonify to Cisco’s “reusable learning objects“) but the scale and utility of these innovations is limited. What if we use AI and machine learning to simply build content on the fly? And let employees simply ask questions to find and create the learning experience they want? Well thanks to innovations from the vendors I mentioned above, this kind of personalized experience is available today.  (Listen to my conversation with Joel Hellermark from Sana to hear more.) What Is An Autonomous Learning Platform? The best analogy I’ve come up with is the “five levels of autonomous driving.” We’re going from “no automation” to “driver assist” to “conditional automation” to “fully automated.” Let me suggest this is precisely what’s happening in corporate training. If you look at the pace of AI announcements coming (custom GPTs, image and video generation, integrated search), you can see that this reality has now arrived. How Does This Really Work Now that I’ve had more than a year to tinker with AI and talk with dozens of vendors, the path is becoming clear. The new generation of learning platforms (and yes, this will eventually replace your LMS), can do many things we need: First, they can dynamically index and injest content into an LLM, creating an “expert” or “tutor” to answer questions. Galileo, for example, now speaks in my own personal voice and can answer almost any question in HR I typically get in person. And it gives references, examples, and suggests follow-up questions. Companies can take courses, documents, and work rules and simply add them to the corpus. Second, these systems can dynamically create courses, videos, quizzes, and simulations. Arist’s tool builds world-class instructional pathways from documents (try our free online course on Predictions 2024 for example) and probably eliminates 80% of the design time. Docebo Shape can take sales presentations and build an instructional simulation automatically, enabling sales people to practice and rehearse. Third, they can give employees interactive tutors and coaches to learn. Uplimit’s new system, which is designed for technical training, automatically gives you an LLM-powered coach to step you through exercises, and it learns who you are and what kind of questions you need help with. No need to “find the instructor” when you get stuck. Fourth, they can personalize content precisely for you. Sana’s platform, which Joel describes here, can not only dynamically generate content but by understanding your behavior, can actually give you a personalized version of any course you choose to take. These systems are truly spectacular. The first time you see one it’s kind of shocking, but once you understand how they work you see a whole new world ahead. Where Is This Going While the market is young, I see four huge opportunities ahead. First, companies can now take millions of hours of legacy content and “republish it” in a better form. All those old SCORM or video-based courses, exercises, and simulations can turn into intelligent tutors and knowledge management systems for employees. This won’t be a simple task but I guarantee it’s going to happen. Why would I want to ramble around in the LMS (or even LinkedIn Learning) to find the video, or information I need? I”d just like to ask a system like Galileo to answer a question, and let the platform answer the question and take me to the page or word in the video to watch. Second, we can liberate instructional design. While there will always be a need for great designers, we can now democratize this process, enabling sales operations people, and other “non-designers” to build content and courses faster. Projects like video authoring and video journalism (which we do a lot in our academy) can be greatly accelerated. And soon we’ll have “generated VR” as well. Third, we can finally integrate live learning with self-directed study. Every live event can be recorded and indexed in the LLM. A two hour webinar now becomes a discoverable learning object, and every minute of explanation can be found and used for learning. Our corpus, for example, includes hundreds of hours of in-depth interviews and case studies with HR leaders. All this information can be brought to life with a simple question. Fourth, we can really simplify compliance training, operations training, product usage, and customer support. How many training programs are designed to teach someone “what not to do” or “how to avoid breaking something” or “how to assemble or operate” some machine? I’d suggest its millions of hours – and all this can now be embedded in AI, offered via chat (or voice), and turned loose on employees to help them quickly learn how to do their jobs. Vendors Watch Out This shift is about as disruptive as Tesla has been to the big three automakers. Old LMS and LXP systems are going to look clunkier than ever. Mobile learning won’t be a specialized space like it has been. And most of the ERP-delivered training systems are going to have to change. Sana and Uplimit, for example, are both AI-architected systems. These platforms are not “LMSs with Gen AI added,” they are AI at the core. They’re likely to disrupt many traditional systems including Workday Learning, SuccessFactors, Cornerstone, and others. Consider the content providers. Large players like LinkedIn Learning, Skillsoft, Coursera, and Udemy have the opportunity to rethink their entire strategy, and either put Gen AI on top of their solution or possibly start with a fresh approach. Smaller providers like us (and thousands of others) can take their corpus of knowledge and quickly make it come to life. (There will be a massive market of AI tools to help with this.) I’m not saying this is easy. If you talk with vendors like Sana, Docebo, Arist, and Uplimit, you see that their AI platforms have to be highly tuned and optimized for the right user experience. This is not as simple as “dumping content into ChatGPT,” believe me. But the writing is on the wall, Autonomous Learning is coming fast. As someone who has lived in the L&D market for 25 years, I see this era as the most exciting, high-value time in two decades. I suggest you jump in and learn, we’ll be here to help you along the way. About These Vendors Sana (Sana Labs) is a Sweden-based AI company that focuses on transforming how organizations learn and access knowledge. The company provides an AI-based platform to help people manage information at work and use that data as a resource for e-learning within the organization. Sana Labs’ platform combines knowledge management, enterprise search, and e-learning to work together, allowing for the automatic organization of data across different apps used within an organization. Docebo is a software as a service company that specializes in learning management systems (LMS). It was founded in 2005 and is known for its Docebo Learn LMS and other tools, including Docebo Shape, its AI development system. The company has integrated learning-specific artificial intelligence algorithms into its platform, powered by a combination of machine learning, deep learning, and natural language processing. The company went public in 2019 and is listed on the Toronto Stock Exchange and the Nasdaq Global Select Market. Uplimit is an online learning platform that offers live group courses taught by top experts in the fields of AI, data, engineering, product, and business. The platform is known for its AI-powered teaching assistant and personalized learning approach, which includes real-time feedback, tailored learning plans, and support for learners. Uplimit’s courses cover technical and leadership topics and are designed to help individuals and organizations acquire the skills needed for the future. Arist is a company that provides a text message learning platform, allowing Fortune 500 companies, governments, and nonprofits to rapidly teach and train employees entirely via text message. The platform is designed to deliver research-backed learning and nudges directly in messaging tools, making learning accessible and effective. Arist’s approach is inspired by Stanford research and aims to create hyper-engaging courses in minutes and enroll learners in seconds via SMS and WhatsApp, without the need for a laptop, LMS, or internet. The company has been recognized for its innovative and science-backed approach to microlearning and training delivery. BY JOSHBERSIN 
    generative AI
    2024年02月18日
  • generative AI
    The best HR & People Analytics articles of January 2024 2024 is set to be a momentous year. With economic uncertainty, rising geopolitical conflict, and rapid advances in technology, it is also set to be a stormy 12 months for the world, for organisations, and for HR professionals too. Perhaps this explains the slew of insightful resources in January, which has made compiling this month’s collection as challenging as it has been enjoyable. One of the key focuses has been on ‘productivity’, and I’ve brought together a number of resources on this topic. There are also new studies from the likes of PwC, McKinsey, Glassdoor, Accenture, and Deloitte as well as articles featuring practitioners from companies including Spotify, Microsoft, Ericsson, Lloyds Banking Group, and Standard Chartered. There’s lots to enjoy and learn from. Join me for a webinar on February 21 to discover how Leading Companies shift People Analytics from insight to impact Are you an HR or People Analytics Leader seeking to transform your organisation’s People Analytics from mere insights to impactful business outcomes? If so, I invite you to join me for a webinar that Insight222 is hosting on February 21. Naomi Verghese and I will walk through the findings from the Insight222 People Analytics Trends research, unveiling the distinctive characteristics of ABCD Teams that propel organisations to new heights. Naomi and I will be joined by Alan Susi, VP and Global Head of Organisational Analytics and People Insights at S&P Global. Alan will share insights into how S&P Global successfully elevated their approach to people analytics, turning data into tangible business outcomes. You can register for the webinar here – or by clicking the image below. Jürgen Klopp – a study in leadership, culture, and analytics As a fervent supporter, I’m still processing the totally unexpected news that Jürgen Klopp will be leaving his post as the manager of Liverpool at the end of the current football season. In his press conference on taking the reins at Anfield in October 2015, Klopp stated his goal was to turn Liverpool from “doubters to believers.” He has done this with some aplomb amassing a haul of seven trophies (to date) including the Champions League in 2019 and then, the following year, the Holy Grail of Liverpool’s first league title in 30 years. But Klopp is more than a brilliant football manager. He is the epitome of an empathetic leader. His emotional intelligence and natural humility not only endears Klopp to his players, but to supporters too for whom he is adored. The reaction to the news reduced many Liverpool supporters to tears. I’m still hoping – probably forlornly - that like Alex Ferguson in 2002, Klopp will change his mind and stay. In the likely event that he does depart, I’m sure that multiple studies will be made on Klopp’s time at Anfield, and that his leadership skills, use of data and analytics, and ability to build an inclusive winning culture will be deservedly celebrated. YNWA. Looking for a new role in people analytics or HR tech? Before we get to this month’s collection of resources, I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 500 roles. Looking for a people analytics event to attend in 2024? Richard Rosenow has also been busy compiling a study of People Analytics Conferences to attend in 2024 with the data collected from practitioners themselves. Society for Industrial and Organizational Psychology (SIOP), People Analytics World and the Wharton People Analytics Conference all come out well as does the Insight222 Global Executive Retreat. Thanks to Richard for putting this together. Share the love! Enjoy reading the collection of resources for January and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on December’s compendium (including those in the Comments below). If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. THE QUEST FOR PRODUCTIVITY MCKINSEY - 2024 and beyond: Will it be economic stagnation or the advent of productivity-driven abundance? | PwC - 27th Annual Global CEO Survey: Thriving in an age of continuous reinvention | JOSH BERSIN - HR Predictions for 2024: The Global Search For Productivity | ERIK BRYNJOLFSSON - How AI Will Transform Productivity | BEN WABER AND NATHANAEL J. FAST - Is GenAI’s Impact on Productivity Overblown? When I talk with CHROs and People Analytics Leaders at the companies we work with at Insight222, one of the words I’m hearing most at the moment is ‘productivity’. Continuing economic and geopolitical uncertainty, the promise of AI, and challenging talent demographics are all fuelling the demand for productivity from CEOs. Here are five resources that can be filed under the ‘productivity’ umbrella: (1) McKinsey’s Ezra Greenberg, Asutosh Padhi, and Sven Smit present a model for businesses to capture the three-sided productivity opportunity (see FIG 1). (2) Amongst a ton of takeaways, the standout theme from the annual PwC CEO survey is that the vast majority of participating companies are already taking some steps towards reinvention, while CEOs believe that 40% of their work is wasted productivity (see FIG 2). (3) Josh Bersin draws from the PwC survey in his 2024 predictions, where he outlines The Productivity Advantage where “If you can help your company move faster (productivity implies speed, not only profit), you can reinvent faster than your competition.” (4) Stanford professor Erik Brynjolfsson offers leaders an overview of how AI will transform productivity. (5) Finally, Ben Waber and Nathanael Fast’s absorbing essay in Harvard Business Review cautions leaders on leaning into the hype on GAI’s supposed positive impact on productivity too heavily. The authors break down two of the key challenges with LLMs: a) their persistent ability to produce convincing falsities and b) the likely long-term negative effects of using LLMs on employees and internal processes. FIG 1: The three-side productivity opportunity (Source: McKinsey) FIG 2: CEOs estimate administrative inefficiency at 40% (Source: PwC) GERGELY OROSZ AND ABI NODA - Measuring Developer Productivity: Real-World Examples Continuing the productivity theme, this is an invaluable resource by Gergely Orosz and Abi Noda in The Pragmatic Engineer newsletter. It provides detail on developer productivity metrics at 17 tech companies including Google, Microsoft, Spotify, and Uber (see summary in FIG 3). FIG 3: Developer productivity metrics at 17 tech companies (Source: Pragmatic Engineer) 2024 HR TRENDS AND PREDICTIONS JASMINE PANAYIDES - Nine Ways to Put HR Trends and Predictions into Practice in 2024 There has been a flood of articles advising what the key HR trends, predictions, and opportunities for 2024 are, but how are HR professionals supposed to make sense of these? In her article for the myHRfuture blog, Jasmine Panayides provides actionable tips on how HR professionals can apply the trends, predictions and opportunities to their work, and their organisations so they can deliver value to the company and the workforce. Jasmine also helpfully summarises the trends/predictions from a variety of sources into one table (see FIG 4), including from: Visier Inc., Gartner, Bernard Marr, UNLEASH, Mercer, and Culture Amp as well as my own 12 Opportunities for HR in 2024 article. FIG 4: Analysis of HR Trends and Predictions for 2024 (Source: myHRfuture) KATARINA BERG - HR Trends for 2024 | GARTNER - 9 Future of Work Trends for 2024 | GLASSDOOR – 2024 Workforce Trends | HUNG LEE - Forecasting 2024 in Recruitment Part 1, Part 2, Part 3, and Part 4 | KEVIN WHEELER - What Does 2024 Hold in Store for Us? | STACIA GARR AND DANI JOHNSON – 2024 Mega Trends and how people leaders should respond (Webinar) The deluge of commentators offering their HR trends and opportunities continued in January. As such, it is a challenge to sort the wheat from the chaff but in addition to those I highlighted in this compendium in December, and in Jasmine’s article above, I recommend diving into the following: (1) Spotify’s chief people officer, Katarina Berg, highlights ten trends with the common theme being each trend is a bridge, connecting the past with the future, and HR professionals are the architects crafting these vital links – including “Staying Human in the Age of AI – The Humanity Bridge”. (2) Gartner’s Jordan Turner and Emily Rose McRae highlight nine future of work trends for the year ahead (see FIG 5). (3) Aaron Terrazas and Daniel Zhao identify eight workforce trends based on Glassdoor’s data on workplace satisfaction, culture, and conversations. (4) Hung Lee is at the cutting edge of recruiting and HR tech, so his four-part series on recruiting in 2024 is definitely worth checking out – two examples include: “Multi-generational replaces neurodiversity as DEIB hot topic” and “Capital Allocation Shifts from Sourcing & Engagement to Assessment & Verification Tech”. (5) Futurist Kevin Wheeler offers seven insights and predictions together with his self-assessed certainty rating including “Generative AI will dominate, and every product will attempt to incorporate AI. 90% certainty” and “More firms will embrace a four-day workweek 50% certainty”. (6) Finally, I strongly recommend viewing the 2024 Mega Trends webinar hosted by Stacia Sherman Garr and Dani Johnson for RedThread Research, which breaks down the key macro factors impacting the world of work and how HR can respond. FIG 5: 9 Future of Work Trends for 2024 (Source: Gartner) GREG NEWMAN - 10 important topics that HR will likely ignore in 2024 Greg Newman takes an alternative, wry and contrarian approach by focusing his list of “predictions” on ten things most HR teams will continue to ignore in 2024. My favourite three are: (1) speaking the language of the business, (2) focusing AI conversations on ethics before technology, and (3) learning that good data is required to realise the dreams of AI and analytics. By aligning HR language with business terminology, we can more effectively demonstrate the value of our initiatives in a way that resonates with business stakeholders. GENERATIVE AI AND THE FUTURE OF WORK ELLYN SHOOK AND PAUL DAUGHERTY - Work, workforce, workers: Reinvented in the age of generative AI A new study from Accenture, co-authored by Ellyn Shook and Paul Daugherty, on how generative AI is impacting work, provides guidance on how leaders can: “Set and guide a vision to reinvent work, reshape the workforce and prepare workers for a generative AI world, while building a resilient culture to navigate continuous waves of change.” The report reveals a trust gap between workers and leaders on key elements related to GAI’s impact on work, the workforce, and workers. The authors also highlight four accelerators for leaders to navigate the journey ahead: (1) Lead and learn in new ways, (2) Reinvent work, (3) Reshape the workforce (see example in FIG 6), and (4) Prepare workers. FIG 6: Illustrative example of how work and roles can be reallocated in a GAI future (Source: Accenture) ROGER W. HOERL AND THOMAS C. REDMAN - What Managers Should Ask About AI Models and Data Sets The decision on whether to deploy AI models within an organisation ultimately lies with business leaders who may not be qualified to identify risks and weaknesses related to AI models and data sets. In their article, Roger Hoerl and Tom Redman provide (1) A framework (see FIG 7) designed to equip leaders with context and based on their concept of the right data. (2) A set of six questions for leaders to ask their AI model developers before and during modelling work and deployment. (3) Guidance for leaders on how to assess AI model developers’ answers to those six questions. FIG 7: The Right Data Framework (Source: Roger W. Hoerl and Thomas C. Redman) PEOPLE ANALYTICS STEVE HATFIELD, SUE CANTRELL, AND BRAD KREIT - Beyond the quick fix: How workforce data can drive deeper organizational problem-solving The premise of this thoughtful article by Steve Hatfield, Susan Cantrell, and Brad Kreit is that without the right context, even simple measurements can undermine efforts to convert people data into value. They then explore several examples – in the workforce, in the workplace, and in the work – where organisations might be limiting their analysis to the surface level and how deeper analysis can reveal systemic issues that lead to opportunities for transformation. Guidance on three actions leaders can take to help ensure they are not missing important context in their data analysis are provided: (1) Bring data from different domains and sources together for analysis. (2) Make sure you’re measuring what you should—not just what you can. (3) Identify potential biases in data collection algorithms. If organizations want to move beyond quick fixes and use work and workforce data to drive deeper—and often more challenging—problem-solving, it is important that they look at the data in context. NAOMI VERGHESE - How to Measure the Value of People Analytics My Insight222 colleague Naomi Verghese digs how to measure the commercial value of people analytics, highlighting a powerful case study from Jaesun HA and LG Electronics. Naomi provides detail on four key areas where people analytics adds value (business performance, workforce experiences, driving an analytics culture and societal benefit) as well as providing data on the characteristics of companies that ARE creating commercial value from people analytics (see FIG 8). FIG 8: Characteristics of people analytics that disclosed and measured commercial value of people analytics solutions (Source: Insight222 People Analytics Trends, 2023) ANDRÉS GARCIA AYALA - 5 Change Drivers Impacting People Analytics & How To Thrive In Them | WILLIS JENSEN - Attrition versus Retention: Which Should I Use? | KEITH McNULTY – Regression Modeling in People Analytics: Survival Analysis | LYDIA WU - The Market Sucks and You are Looking for a Job, Now What? | SEBASTIAN SZACHNOWSKI - 16 HR Metrics for IT | ERIN FLEMING AND NICK JESTEADT - People Analytics Perspectives from the Fringe: Current Priorities and a View on Optimized Teams in 2024 January saw a slew of articles from current and recent people analytics leaders, which typically act as a spur and inspiration for the field. Six are highlighted here: (1) Andrés García Ayala highlights some of the key change drivers impacting people analytics and ways to incorporate them into our work. (2) Willis Jensen builds on the recent primer on attrition metrics by Ben Teusch that I highlighted in December’s edition. He explains why we should be using attrition and retention as separate terms that lead to distinct metrics with different objectives (see also FIG 9). (3) Keith McNulty provides another indispensable practical guide for people analysts with a step-by-step tutorial to conducting survival analysis in R. (4) The prolific Lydia Wu turns her attention to providing some handy guidance for those looking for their next people analytics / HR tech role. (5) Sebastian Szachnowski provides a useful breakdown of 16 HR metrics for technology companies. (6) Last but definitely not least, Erin Fleming and Nick Jesteadt provide insights from their survey of fellow people analytics practitioners. Insights include a) 41% of respondents (n=49) operate as a one-person people analytics team, and ii) the main current focus areas of work include employee turnover, cultural engagement, return to office, and restructuring. FIG 9: When to use Attrition and Retention (Source: Willis Jensen) MAX BLUMBERG - The Big List of GPTs to Revolutionize Your People Processes | JOHANNES SUNDLO - GenAI for People Analytics Two articles addressing the opportunity for generative AI in the people space. (1) Max Blumberg (JA) ?? sets out 93 potential ways to upgrade your People Processes with AI and GPTs across four categories – workforce planning and strategy, recruitment, learning and development, and employee wellbeing. (2) Johannes Sundlo provides examples of companies using GAI in their people analytics work to support analyses on engagement data, skills, and tailoring training recommendations. GPTs are an amazing tool for scenario planning, forecasting future workforce needs, identifying talent gaps, and developing integrated talent strategies. THE EVOLUTION OF HR AND DATA DRIVEN CULTURE DAVE ULRICH, NORM SMALLWOOD, AND JOE GROCHOWSKI - Why and How to Move HR to an Outside-In Approach When asked the question, “What is the biggest challenge in your job today?” HR professionals will typically provide answers such as: “Build a skills-based organisation” or “Help our employees have a better experience”. As Dave Ulrich, Norm Smallwood, and Joe Grochowski write, these answers would be far more powerful when a “so that” is applied e.g. “Help employees have a better experience so that customer experience improves.” The article demonstrates that greater value is created with an outside-in approach that starts with the needs of external stakeholders (customers, investors, community) and then figuring out the implications inside the company for meeting those needs. Dave, Norm, and Joe also present their Human Capability Framework and a tool that provides an assessment of an organisation’s outside-in performance (see FIG 10). FIG 10: Human capability from the outside-in - diagnostic questions (Source: Dave Ulrich et al) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS AMY WEBB - Bringing True Strategic Foresight Back to Business In her article for Harvard Business Review, Amy Webb defines strategic foresight as “a disciplined and systematic approach to identify where to play, how to win in the future, and how to ensure organizational resiliency in the face of unforeseen disruption.” Her article also advocates for the integration of strategic foresight as a core competency in every organisation, regardless of size. Moreover, Amy provides guidance on how to operationalise strategic foresight by unveiling a ten-step process. Read alongside another article authored by Amy for HBR: How to Do Strategic Planning Like a Futurist, which includes Amy’s Futurist’s Framework for Strategic Planning (see FIG 11). FIG 11: A Futurist’s Framework for Strategic Planning (Source: Amy Webb) WORLD ECONOMIC FORUM AND PwC - Putting Skills First: Opportunities for Building Efficient and Equitable Labour Markets As the introduction to this compelling collaboration between the World Economic Forum and PwC begins: “Skills and talent shortages are critical challenges facing societies and economies today. The absence of relevant skills impedes business growth, hinders economic prosperity, and inhibits individuals from realizing their full potential.” The report identifies five specific opportunities for intervention where the gains from skills-first solutions are most likely for employers and workers alike (see ‘Skills-first Framework’ in FIG 12). Additionally, the report also showcases 13 Skills First “Lighthouses”, including IBM, Siemens, Standard Chartered and Sanofi. It concludes by offering key takeaways regarding six success factors in implementing skills-first approaches including (1) Sponsorship from leadership, (2) Alignment with business needs, and (3) Data and evaluation for iteration. (Authors: Genesis Elhussein, Mark Rayner, Aarushi Singhania, Saadia Zahidi, Peter Brown MBE, Miral Mir, and Bhushan Sethi). A cultural shift to skills-first approaches needs both sponsorship from executives and governance from human-resources professionals FIG 12: Skills-first Framework (Source: World Economic Forum PETER SHEPPARD - Learning from our Skills Journey | BEN AUTY - What are the new skills people will need for the future of work? | TANUJ KAPILASHRAMI - How Standard Chartered is Unlocking the Power of Skills in the Workplace Many of the organisations we work with at Insight222 have embarked on the road to becoming a skills-based organisation. It is not an easy journey, so it is helpful to learn from other companies who are treading this path. Three of these are Ericsson, Lloyds Banking Group, and Standard Chartered. (1) In his article, Peter Sheppard shares learnings from Ericsson’s skills journey including a) it’s not jobs or skills; it’s skills and jobs, b) it’s a whole organisation activity, c) Less is more with skills, and d) Data drives value. (2) Ben Auty shares insights as to why Lloyds Banking Group is developing a learning culture to build the workforce of the future at the bank, the main skills they are focusing on, and the central role the recently established Reskilling Team is playing. (3) Tanuj Kapilashrami shares how Standard Chartered catalysed their work on skills by identifying adjacencies between ‘sunset’ and ‘sunrise’ roles. We looked at skills adjacencies between ‘sunset’ jobs and ‘sunrise’ jobs: so, what are the jobs that are going to go away? What are the skills that help employees get reskilled into some of these sunrise jobs? We ran five proofs of concept, we showed some real redeployment opportunities and started making the skills narrative real. EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING JENNIFER E. SIGLER WITH STEPHANIE DENINO - So Many Stakeholders, So Little Time: State of EX 2023-2024 The fifth annual State of EX study authored by Jennifer E. Sigler, PhD on behalf of The EXchange, Inc, TI PEOPLE and FOUNT Global, Inc. is a treasure chest of insights on the fast-evolving practice of employee experience. It highlights the top four priorities for EX as: (1) Redesigning experiences, (2) Getting broader buy-in for EX work across the organisation, (3) Building an EX roadmap for the organisation, and (4) Getting more / better data. One other standout finding from the study suggests that senior leaders are increasingly focused on EX with a majority of respondents (63%) saying their organisation’s senior leaders view EX as equal to or even more important than other corporate priorities. This bodes well for the future of EX. Thanks to Stephanie Denino and Volker Jacobs for highlighting the study. FIG 13: EX Team Priorities YOY Change (Source: The EXchange, TI People and FOUNT Global, Inc) LEADERSHIP AND CULTURE NADJIA YOUSIF, ASHLEY DARTNELL, GRETCHEN MAY, AND ELIZABETH KNARR - Psychological Safety Levels the Playing Field for Employees | PETER CAPPELLI AND LIAT ELDOR - Can Workplaces Have Too Much Psychological Safety? Two perspectives on psychological safety in the workplace. In the first article, Nadjia Yousif, Ashley Dartnell, Gretchen May, and Elizabeth Knarr present the findings of Boston Consulting Group (BCG) research, which finds how psychological safety benefits inclusion, reduces attrition in diverse groups and effectively acts as an equaliser - enabling diverse and disadvantaged employee groups to achieve the same levels of workplace satisfaction as their more advantaged colleagues. The study also highlights the direct relationship between empathetic leadership and feelings of psychological safety in the workforce, giving leaders a clear directive to be empathetic and thereby engender psychological safety. The second article by Peter Cappelli and Liat Eldor presents research that found that when you move from average to high levels of psychological safety, performance in routine jobs actually declined. FIG 14: Psychological safety has an outsize impact on retention for diversity groups (Source: BCG) RASMUS HOUGAARD, JACQUELINE CARTER, AND ROB STEMBRIDGE - The Best Leaders Can’t Be Replaced by AI While there are some areas where AI is already surpassing or will surpass human capabilities, there are several it cannot replace. Based on their research into employees’ comfort with AI in management, as well as their decades of research on the qualities of effective leadership, Rasmus Hougaard, Jacqueline Carter, and Robert Stembridge identify the promise (and perils) of AI-enabled management (see FIG 15), as well as the three uniquely human capabilities leaders need to focus on honing, especially as AI begins to figure more in management: (1) awareness, (2) compassion, and (3) wisdom. For more from Rasmus, I recommend listening to his podcast discussion with me: How To Be a More Compassionate Leader. Leaders who deepen their ability to lead with humanity will win at attracting, retaining, developing, and motivating top talent. FIG 15: AI versus Human: A matric of leadership activities (Source: Potential Project) DIVERSITY, EQUITY, INCLUSION, AND BELONGING JULIE COFFMAN, ALEX NOETHER, BIANCA BAX, CASSY REICHERT, AND KRYSTLE JIANG - The Business of Belonging: Why making everyone feel included is smart strategy Revealing data from a Bain survey of 6,000+ employees across four countries, which finds employees who have seen their companies intentionally invest in inclusion since 2020 are three times more likely to feel fully included than employees who have not seen such investment from their employers. Other findings include (1) Combining diversity and inclusion maximises a company’s capacity (by 4x) to innovate, and (2) Employees with inclusive leadership are 9x more likely to feel fully included at work (see FIG 16). (Authors: Julie Coffman, Alex Noether, Bianca Bax, Cassy Reichert, and Krystle Jiang). FIG 16: Employees with inclusive leadership are 9x more likely to feel fully included at work (Source: Bain) SHUJAAT AHMAD - DEIB Is At A Crossroads—It’s Time for Bold Action and Clear Metrics Given recent developments it’s reasonable to say that Diversity, Equity, Inclusion, and Belonging (DEIB) is at an existential crossroads. As Shujaat Ahmad writes in his excellent article for Round: “Boards, leadership teams, and investors hold the power to set the tone, shape the policies, and allocate the resources to support DEIB initiatives: for DEIB to work effectively, they must shift from well-intentioned wordsmiths to committed drivers that hold the organization accountable for outcomes and positive change.” Shujaat then unveils his blueprint to help leaders assess progress and drive meaningful change, clarifying the ‘why’ before diving into the ‘how’ covering measuring what matters and interventions (see FIG 17). For more from Shujaat, I recommend visiting Belong and Lead. FIG 17: Source – Shujaat Ahmad HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from January that I recommend readers delve into: ERNEST NG - If the Pitch is Too Smooth, It Probably Is: Why AI in HR is Difficult – Part 2 of an insightful essay from Ernest Ng, PhD of HiredScore (see also Part 1 on disclosures here) where he cuts through the hype to assess how we should be implementing AI in HR. LOUJAINA ABDELWAHED - A Tale of Two Cultures - In One Company - Loujaina Abdelwahed, PhD from Revelio Labs highlights the growing disparity between junior and senior employees (see FIG 18) and identifies the factors causing this malaise. Thanks to Ben Zweig for highlighting. FIG 18: The growing disparity in sentiment between junior and senior employees (Source: Revelio Labs) JEREMIE BRECHEISEN - Where Employees Think Companies’ DEIB Efforts Are Failing – Jeremie K Brecheisen presents findings from Gallup that reveals a disconnect between how well employees and HR leaders believe their organisations are doing when it comes to diversity, equity, inclusion, and belonging: 84% of CHROs say their organisations are increasing investment in DEIB, while only 31% of employees say their organisation is committed to improving racial justice or equity in their workplace (see FIG 19). The article then outlines ten needs employees say are not being met and then offers strategies to help organisations address the disconnect. FIG 19: How employees and HR leaders differ on perceptions of DEIB progress (Source: Gallup) FRANCISCO MARIN - Navigating the ONA Landscape: Trends and Challenges for 2024 - Another good read from Cognitive Talent Solutions, as Francisco Marin explores the key trends and challenges shaping the ONA space in 2024. IAN WHITE - The three C’s of effective performance management – Ian White, CEO at ChartHop, presents the three C’s of performance management — continuous, contextual and cultural — designed to help companies understand their employees more holistically. CHRISTINA JANZER - The surprising connection between after-hours work and decreased productivity – Christina Janzer presents findings from Slack’s Workforce Index, which identifies findings on how to structure the workday to maximise employee productivity, well-being and satisfaction – including the connection between after hours work and decreased productivity. FIG 20: Source – Slack PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): AMY EDMONDSON AND LAURIE RUETTIMANN – Right Kind of Failure – Amy Edmondson joins Laurie Ruettimann on the brilliantly named Punk Rock HR to explore the essential role of failure in our professional and personal growth. STACIA GARR, COLE NAPPER, AND SCOTT HINES - People Analytics & HR Tech Research by Industry Analysts – Stacia Sherman Garr, one of the industry’s top analysts, joins Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss the research Stacia and her team at RedThread Research do in the people analytics and HR technology space. RICHARD ROSENOW, MADDIE GRANT, AND SANJA LICINA - How to Build an Integrated Framework for Workforce Listening – In an episode of the Empowering Workplaces podcast, Richard Rosenow joins hosts Maddie Grant and Sanja Licina, Ph.D. to talk about The Three Channels of Workforce Information: conversations (“what people say”), surveys (“what people say they do”) and systems (“what people do”) as a way to build a comprehensive understanding of your workforce. McKINSEY - The shape of talent in 2023 and 2024 - In this episode of McKinsey Talks Talent, Bryan Hancock, Brooke Weddle and host Lucia Rahilly highlight the trends that shaped last year’s talent landscape—and those poised to ‘redefine its contours’ yet again in 2024. MATTHEW BIDWELL AND DAN LONEY – Forecasting 2024 Workplace Trends – Wharton Professor and convenor of the Wharton People Analytics Conference, Matthew Bidwell, joins host of the Wharton Business Daily Dan Loney to look at the year ahead in the workplace. VIDEO OF THE MONTH CHRIS LOUIE, TOMAS CHAMORRO-PREMUZIC, TERRI HORTON, AND LINDSEY SHINTANI - Power a dynamic workforce by embracing AI An enlightening panel discussion from the recent LinkedIn Talent Connect where Chris Louie, Dr Tomas Chamorro-Premuzic, Terri Horton, EdD, MBA, MA, SHRM-CP, PHR, and Lindsey Shintani discuss how AI is changing learning and career paths. They provide guidance on how to overcome AI anxiety and empower impactful futures. BOOK OF THE MONTH KEVIN WHEELER AND BAS VAN DE HATERD – Talent Acquisition Excellence An excellent new book published by Kogan Page and authored by Kevin Wheeler and Bas van de Haterd (He/His/Him). It provides an insightful and detailed analysis of how technologies such as artificial intelligence and machine learning in combination with analytics can improve talent acquisition and recruitment. RESEARCH REPORT OF THE MONTH YUYE DING AND MARK (SHUAI) MA - Return-to-Office Mandates A huge thank you to Nick Bloom for bringing my attention to this paper from Yuye Ding and Mark Ma, which studied the impact of 137 Return to Office mandates on the performance of S&P500 firms from 2020-2023. The key findings, as summarised by Nick, are illuminating: (1) RTO mandates are more likely in firms with poor recent stock performance, and in those with powerful male CEOs. (2) Glassdoor data finds RTO mandates significantly reduce employee ratings for job satisfaction, work-life balance, and senior management. (3) There is no significant impact of RTO mandates on either firm profitability or firm stock-returns. FIG 21: Distribution of firms’ RTO mandates (Source: Yuye Ding and Mark Ma) FROM MY DESK January saw the first three episodes of Series 36 of the Digital HR Leaders podcast, sponsored by our friends at ScreenCloud. Thank you to Luke Farrugia. DAVID GREEN - The best 60 HR & People Analytics articles of 2023 Part 1 | Part 2 – My tenth annual collection of HR and people analytics resources is spread across two articles and ten themes. Part 1 covers i) the future of work and people strategy, ii) workplace design and strategy, iii) AI and the world of work, iv) people analytics, and v) employee experience, listening and wellbeing. Part 2 covers: vi) the evolution of HR, HR operating models and the CHRO, vii) building a data driven culture in HR, viii) workforce planning, skills, and talent marketplace, ix) leadership and culture, and x) diversity, equity, inclusion and belonging. THOMAS RASMUSSEN, DAWN KLINGHOFFER, AND JEREMY SHAPIRO - HR in 2024: The Impact of People Analytics, AI & ML – In a special episode of the Digital HR Leaders podcast to kick off 2024, I was joined by Thomas Rasmussen, Dawn Klinghoffer, and Jeremy Shapiro to discuss the outlook for HR and people analytics in the coming 12 months. SERENA HUANG - How to Enhance Your Career in People Analytics - Serena H. Huang, Ph.D., who has led people analytics functions at companies including GE, PayPal and Kraft Heinz, joins me to discuss the common career paths observed in the people analytics field and how they have evolved over the years. KAZ HASSAN AND LUKE FARUGGIA - How to Bridge the Gap Between Customer and Employee Experience - What can HR learn from marketing's journey in using data, analytics and technology to understand and personalise the customer experience? How can we leverage these insights in HR to boost our employee experience initiatives? Kaz Hassan and Luke Faruggia join me to discuss these topics and more. THANK YOU Finally, this month I’d like to thank: Recruit CRM for nominating me as ‘The People Analytics Pioneer’ in their list of 50 Recruitment Influencers to Follow in 2024 Likewise, a huge thank you to 365Talents for including me as one of the Top 50 HR Influencers to Follow in 2024 Similarly, thanks to HRCap, Inc. for including me in their list of 10 HR Influencers who Provide Remarkable Insights The Social Craft (here) and The Talent Games (here) for also including me in their lists of HR and HR Tech leaders to follow. HRDConnect for quoting me in their article Data Literacy: A must-have for HR professionals in 2024. Gianni Giacomelli for including the Data Driven HR monthly in his list of seven must-read newsletters. HR Geckos for including Excellence in People Analytics as a book recommendation in their HR Bytes Newsletter for January 2024. Sebastian Szachnowski for including Excellence in People Analytics in his list of books to get better at people analytics. Leapsome for including the Digital HR Leaders podcast as one of its Top 10 HR Podcasts for 2024. Similarly, Alexandre Darbois for also including the Digital HR Leaders podcast as one of his 5 HR Podcasts. Melissa Meredith for using my 12 Opportunities for HR in 2024 article to highlight the importance of the HR-Finance partnership in building a thriving company. Bill Brown for also highlighting my 12 Opportunities for HR in 2024 article in his Eleven Trends Transforming the Future of Work in 2024. Mirro.io for including me as a contributor in their list of 15 HR Trends for 2024. Dhanesh K for including as one of his 10 Top HR Leaders to Follow. Lanteria HR for recommending me as one of their HR Experts to Follow in 2024. Semos Cloud for including my 12 Opportunities for HR in 2024 as part of their round-up of HR insights. Thomas Kohler for including my Best HR and People Analytics Articles of 2023 in their collection of HR resources to read. Thinkers360 for including me in their Top Voices EMEA 2023. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. SEE ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024: Feb 21 - Discover how Leading Companies shift People Analytics from insight to impact (Webinar) Feb 28 - People Analytics World 2024: Exploring the Potential of Analytics and AI in Employee Experience (Zurich) March 4-6 - Gloat Live! (New York) March 14-15 - Wharton People Analytics Conference (Philadelphia) April 24-25 - People Analytics World (London) May 7-9 - UNLEASH America (Las Vegas) September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program October 16-17 - UNLEASH World (Paris) More events will be added as they are confirmed.
    generative AI
    2024年02月01日
  • generative AI
    Employers, Employees Disconnected over AI-related Job Displacements Looking at the fast-growing AI age, generative AI is having a great impact on job security. Most employees have expressed their 'psychologically unsafe' at work, while most employers are unconcerned about this. In fact, in order to generate values more efficiently, leaders are supposed to be open to generative AI and upskill their employees. 'Misaligned perceptions' among leaders, employees erode trust, report says. Employers and employees are not seeing eye to eye when it comes to the impact of generative AI in the workplace, hindering trust and preventing organisations from unlocking the potential of the technology at work. This is according to a new report from Accenture after collecting data from over 7,000 C-suite leaders and 5,000 employees of large organisations across 19 countries. According to the report,58%of employees are worried about generative AI's impact on job security. This comes amid recent research from the International Monetary Fund saying the rapid rise of AI will expose nearly 40% of jobs worldwide, while another report from Goldman Sachs said it will put at risk 300 million jobs. C-suite not concerned about AI But members of the C-suite don't appear too concerned about this outcome, as the report found that less than one-third of them feel job displacement is a concern for people. It also found a disconnect between employees and the C-suite when it comes to how gen AI will affect well-being. For 60% of employees, they believe it will increase stress and burnout, while only 37% of leaders see this as an issue. These disconnected views contribute to the lack of trust from employees, who don't believe their organisations will ensure positive outcomes when utilising generative AI, according to the report. "Misaligned perceptions between leaders and workers also erode trust," the report said. "This lack of trust puts the trifecta of opportunities at risk." 'Trifecta of opportunities' The report outlined three opportunities that organisations can maximise when it comes to gen AI and they are: Accelerating economic value Increasing productivity that drives business Fostering more creative and meaningful work of people But the lack of trust from their employees are preventing these organisations from leveraging these opportunities, despite 95% of them saying they see the value in working with AI, according to the report. Role of leaders in gen AI integration It also comes as two-thirds of employees said they don't have the technology and change leadership expertise to drive the reinvention need to take advantage of AI, according to the report. "There's a way, however, for leaders to close the trust gap and accelerate gen AI integration: Look at and emulate how leading organisations are leveraging gen AI in ways that are better for business and better for people," the report said. Only nine per cent of organisations in the survey were classified as "reinventors," who have achieved the capability for continuous reinvention and have maximised the potential of AI. More than half of these reinventors are already redesigning jobs and roles around AI as steps to reshape the workforce, according to the report. "Key to all of this: three-quarters are actively involving their people in their enterprise change efforts, while reskilling people," the report said. These organisations are being transparent to employees throughout the process to establish and foster trust, according to the report. Ellyn Shook, chief leadership and human resources officer, Accenture, underscored the role of leaders in the transition to gen AI. "Success starts with leaders who are willing to learn and lead in new ways, to scale gen AI responsibly, to create value and ensure work improves for everyone," Shook said in a statement. "It starts with asking a simple question: are people 'net better off' working here? This not only unlocks people's potential and drives bottom-line growth, but also paves the way for workers feeling comfortable, trusting and ready to work with gen AI. What we've learned from the past as leaders is that what happens next is up to us. The best outcomes are ours to shape." SOURCE HRD
    generative AI
    2024年01月22日
  • generative AI
    HR Predictions for 2024: The Global Search For Productivity 2024年的HR预测强调了生产力和AI在商业和雇佣实践中的关键作用。这篇文章讨论了公司在动态的经济条件和不断变化的劳动力市场背景下，如何适应他们的人才管理和招聘策略。强调了员工赋权的增加，劳动力市场的变化，以及技能发展的重要性。文章还探讨了劳动力囤积、混合工作模式和员工激活等关键概念。此外，还涉及领导力挑战、薪酬公平、DEI计划，以及可能的四天工作周。 一起来看Josh Bersin 带来新得见解 For the last two decades I’ve written about HR predictions, but this year is different. I see a year of shattering paradigms, changing every role in business. Not only will AI change every company and every job, but companies will embark on a relentless search for productivity. Think about where we have been. Following the 2008 financial crisis the world embarked on a zero-interest rate period of accelerating growth. Companies grew revenues, hired people, and watched their stock prices go up. Hiring continued at a fevered pace, leading to a record-breaking low unemployment rate of 3.5% at the end of 2019. Along came the pandemic, and within six months everything ground to a halt. Unemployment shot up to 15% in April of 2020, companies sent people home, and we re-engineered our products, services, and economy to deal with remote work, hybrid work arrangements, and a focus on mental health. Once the economy started up again (thanks to fiscal stimulus in the US), companies went back to the old cycle of hiring. But as interest rates rose and demand fell short we saw layoffs repeat, and over the last 18 months we’ve seen hiring, layoffs, and then hiring again to recover. Why the seesaw effect? CEOs and CFOs are operating in what we call the “Industrial Age” – hire to grow, then lay people off when things slow down. Well today, as we enter 2024, all that is different. We have to “hoard our talent,” invest in productivity, and redevelop and redeploy people for growth. We live in a world of 3.8% unemployment rate, labor shortages in almost every role, an increasingly empowered workforce, and a steady drumbeat of employee demands: demands for pay raises, flexibility, autonomy, and benefits. More than 20% of all US employees change jobs each year (2.3% per month), and almost half these changes are into new industries. Why is this the “new normal?” There are several reasons. First, as we discuss in our Global Workforce Intelligence research, industries are overlapping. Every company is a digital company; every company wants to build recurring revenue streams; and soon every company will run on AI. Careers that used to stay within an industry are morphing into “skills-based careers,” enabling people to jump around more easily than ever before. Second, employees (particularly young ones) feel empowered to act as they wish. They may quietly quit, “work their wage,” or take time out to change careers. They see a long runway in their lives (people live much longer than they did in the 1970s and 1980s) so they don’t mind leaving your company to go elsewhere. Third, the fertility rate continues to drop and labor shortages will increase. Japan, China, Germany, and the UK all have shrinking workforce populations. And in the next decade or so, most other developed economies will as well. Fourth, labor unions are on the rise. Thanks to a new philosophy in Washington, we’ve seen labor activity at Google, Amazon, Starbucks, GM, Ford, Stellantis, Kaiser, Disney, Netflix, and others. While union participation is less than 11% of the US workforce, it’s much higher in Europe and this trend is up. What does all this mean? There are many implications. First, companies will be even more focused on building a high-retention model for work (some call it “labor hoarding.”) This means improving pay equity, continuing hybrid work models, investing in human-centered leadership, and giving people opportunities for new careers inside the company. This is why talent marketplaces, skills-based development, and learning in the flow of work are so important. Second, CEOs have to understand the needs, desires, and demands of workers. As the latest Edelman study shows, career growth now tops the list, along with the desire for empowerment, impact, and trust. A new theme we call “employee activation” is here: listening to the workforce and delegating decisions about their work to their managers, teams, and leaders. Third, the traditional “hire to grow” model will not always work. In this post-industrial age we have to operate systemically, looking at internal development, job redesign, experience, and hiring together. This brings together the silo’d domains of recruiting, rewards and pay, learning & development, and org design. (Read our Systemic HR research for more.) What does “business performance” really mean? If you’re a CEO you want revenue growth, market share, profitability, and sustainability. If you can’t grow by hiring (and employees keep “activating” in odd ways), what choice do you have? It’s pretty simple: you automate and focus on productivity. Why do I see this as the big topic in 2024? For three big reasons. First, CEOs care about it. The 2024 PwC CEO survey found that CEO’s believe 40% of the work in their company is wasted productivity. As shocking as that sounds, it rings true to me:  too many emails, too many meetings, messy hiring process, bureaucratic performance management, and more. (HR owns some of these problems.) Second, AI enables it. AI is designed to improve white-collar productivity. (Most automation in the past helped blue or gray collar workers.) Generative AI lets us find information more quickly, understand trends and outliers, train ourselves and learn, and clean up the mess of documents, workflows, portals, and back office compliance and administration systems we carry around like burdens. Third, we’re going to need it. How will you grow when it’s so hard to find people? Time to hire went up by almost 20% last year and the job market is getting even tougher. Can you compete with Google or OpenAI for tech skills? Internal development, retooling, and automation projects are the answer. And with Generative AI, the opportunities are everywhere. What does all this mean for HR? Well as I describe in the HR Predictions, we have a lot of issues to address. We have to accelerate our shift to a dynamic job and organization structure. We have to get focused and pragmatic about skills. We have to rethink “employee experience” and deal with what we call “employee activation.” And we are going to have to modernize our HR Tech, our recruiting, and our L&D systems to leverage AI and make these systems more useful. Our HR teams will be AI-powered too. As our Galileo™ customers already tell us, a well-architected “expert assistant” can revolutionize how HR people work. We can become “full-stack” HR professionals, find data about our teams in seconds instead of weeks, and share HR, leadership, and management practices with line leaders in seconds. (Galileo is being used as a management coach in some of the world’s largest companies.) There are some other changes as well. As the company gets focused on “growth through productivity,” we have to think about the 4-day week, how we institutionalize hybrid work, and how we connect and support remote workers in a far more effective way. We have to refocus on leadership development, spend more time and money on first line managers, and continue to invest in culture and inclusion. We have to simplify and rethink performance management, and we have to solve the vexing problem of pay-equity. And there’s more. DEI programs have to get embedded in the business (the days of the HR DEI Police are over). We have to clean up our employee data so our AI and talent intelligence systems are accurate and trustworthy. And we have to shift our thinking from “supporting the business” to “being a valued consultant” and productizing our HR offerings, as our Systemic HR research points out. All this is detailed in our new 40-page report “HR Predictions for 2024,” launching this week, including a series of Action Plans to help you think through all these issues. And let me remind you of a big idea. Productivity is why HR departments exist. Everything we do, from hiring to coaching to development to org design, is only successful if it helps the company grow. As experts in turnover, engagement, skills, and leadership, we in HR have make people and the organization productive every day. 2024 is a year to focus on this higher mission. One final thing: taking care of yourself. The report has 15 detailed predictions, each with a series of action steps to consider. The last one is really for you: focus on the skills and leadership of HR. We, as stewards of the people-processes, have to focus on our own capabilities. 2024 will be a year to grow, learn, and work as a team. If we deal with these 15 issues well, we’ll help our companies thrive in the year ahead. Details on the Josh Bersin Predictions The predictions study is our most widely-read report each year. It includes a detailed summary of all our research and discusses fifteen essential issues for CEOs, CHROs, and HR professionals. It will be available in the following forms: Webinar and launch on January 24: Register Here (replays will be available) Infographic with details: Available on January 24. Microlearning course on Predictions: Available on January 24. Detailed Report and Action Guide: Available to Corporate Members and Josh Bersin Academy Members (JBA).  (Note you can join the JBA for $495 per year and that includes our entire academy of tools, resources, certificate courses, and SuperClasses in HR.)
    generative AI
    2024年01月19日
  • generative AI
    2024年将人力资源趋势和预测付诸实践的九种方法 新的一年如约而至。 新年带来新的潮流引导者，新的推动者和新的撼动者，标新立异的想法随之而来，推动进步。而一些趋势会随着市场的发展而变化，年年如是。 每年我们都会回顾去年的成功与失败经验，同时展望2024年的新机遇。2024年将会是划时代的一年。 经济萧条逐渐结束，我们处于新时代的前沿——人工智能时代，在这个时代我们对于文盲的理解变成了“智能文盲”，在工作场景中愈发明显。与此同时产生了复合效应，一些地区的工人需要更公平的工作环境，改进的DEIB策略以及孤立高管层的持续性影响。对于人力资源领导者来说，成为这些变革的先锋从未像现在这样重要。 在2024年保持领先地位 领导者需要有勇气继续跳出人力资源的框框思考，使用新兴技术而不是害怕它，并利用多代员工的独特技能。 然而，了解哪些趋势将推动未来的工作是一回事，了解领导者如何将这些趋势付诸实践才是成功的关键。为了帮助您了解，我们汇总了一些2024年顶级人力资源趋势和预测的优秀示例，并提供了一些有关如何将其付诸实践的可行提示。 正如你所看到的，人力资源在2024年如何发展似乎没有定论。从领导力战略到新兴人工智能、技能投资、多样性、道德、灵活工作，相互交织，随着人力资源世界的发展而不断涌现。 但是，如果仔细观察上述每一个人力资源趋势，你会发现有一些共同点，我们都认为这些共同点将在2024年对人力资源发展产生巨大的影响。 1.领导力与管理发展 最优秀的人力资源领导者明白变革是不可避免的，应该接受改变。正如 Visier 在他们的文章《人力资源的新规则》中所说的那样，变革并不一定是一场技术驱动的革命。它可以像改变视角一样简单。 正如 Visier 首席客户官 Paul Rubenstein 所说，“首席人力资源官（CHRO）必须结合业务数据了解人的绩效、敬业度和生产力，以应对当今的复杂挑战”。 到2024年，人力资源领导者将不仅仅是人事领导者，他们必须在人事管理节奏之外密切参与业务战略，以了解他们与最高管理层一样的工作背景。 然而，根据 Gartner 关于2024年人力资源领导者的 5 大优先事项的报告，“73%的人力资源领导者确认他们组织的领导者和经理没有能力领导变革”。 为了解决这个问题，大卫·格林（David Green）优先考虑赋予人事领导者权力，承认他们的工作量不断增加——“75%的人力资源领导者表示，他们的经理对工作职责的增长感到不知所措（89），而超过50%的经理说自己感到筋疲力尽”。 伯纳德·马尔（Bernard Marr）正确地指出，我们需要在下一代的背景下思考管理和领导力发展，而不仅仅是下一代领导者，而是下一代劳动力。Culture Amp 的研究支持这一点，强调“我们工作场所的代际权力平衡正在发生变化”——非常重视培养当前和未来的领导者，以重新获得进入劳动力市场的信任。在复盘全球正在进行的大规模辞职现状，以及心理安全在有效的混合工作团队中发挥的重要作用时，这一点尤其明显。 因此，从重建习惯管理和管道调整，到取决于管理者独特技能而重新调整的工作流程（而不是期望每个管理者都以同样的方式领导），提供了大量的可能性，可以真正彻底改变2024年的领导方式。2.组织文化与混合工作 如果你认为弹性工作已经一去不复返是因为一群老板希望人们回到办公室，请你再想一想其他原因。因为混合时代才刚刚开始。 思考一下 David Green 关于他对2024年人力资源机会预测的文章中强调的要点： “十分之八的首席人力资源官表示，他们没有计划在未来12个月内减少远程工作的数量”。 “自大流行以来，90%的公司已经接受了一系列混合工作模式”。 “现在，大多数员工有超过25%的时间在远程工作”。 再加上2023年10月，美国近 30% 的带薪日是在家工作。 我们现在所处的时代，人力资源领导者在根据这些变化带领调整公司整个组织结构发展方向上占主要地位。 人力资源领导者应使用数据和分析来为个人发展和绩效设定更好的期望。这也将减少文化发展的“一刀切”方法，并创造Visier所说的“增加的确定性”。事实上，当他们的研究表明“这些执行办公室申报表的公司中有三分之一的公司很难招聘新员工”时，我们比以往任何时候都更需要实施真正的组织变革，以满足新员工的需求。 大卫·格林（David Green）对此的做法集中在“人性化领导”上，即将员工福祉和个性化服务放在人员管理和和企业管理的核心——“建立一个更公平、更健康、更人性化的组织不仅是对员工的‘正确做法’，也是推动企业成功的选择”。 当然，说起来容易做起来难——Gartner 说，“47%的人力资源领导者都不知道如何推动变革以实现所需的文化”。 但是，解决之道是否在于创造更有意义的体验？Culture Amp 延续了这一思维框架，强调创造“值得通勤的体验”对于保持团队创造力和动力至关重要。 伯纳德·马尔（Bernard Marr）考虑了混合工作时代团队凝聚力和有效管理的影响，Mercer在其文章《2024年5个人力资源趋势：你能做些什么来保持领先？》中也将其作为重中之重，尤其是以灵活的思维方式领导的想法。 总而言之，在劳动力规划、职业处理、办公室使用和绩效方面进行可持续的组织变革必须评估各种投入，例如技术、保留策略和员工倾听，还有许多方面将在下文讲。 3.技术集成与人工智能 现在我们正处于真正的时代趋势之中——人工智能，以及技术发展的前沿。 毫不奇怪，上面引用的每一项研究都强调人工智能（包括生成式人工智能），这是2024年人力资源的重大转变。但人工智能并没有从某个职业中剔除数百万美元，也不会导致公司大规模裁员、突然倒闭。人工智能正在改变工作方向，而不是工作本身，在人工智能时代，帮助工人培养人工智能相关技能将使人们在工作中保持安心和快乐。 仅从生产力、敬业度和业务成功的角度来看，人工智能就是一个游戏规则的改变者： Visier ——“29%的工人表示，使用生成式人工智能工具每天可以节省30分钟到一个小时，而18%的人可以节省三到四个小时”。 Unleash ——“76%的人力资源领导者已经在讨论如何在工作场所使用人工智能，38%的人正在正式评估这项新兴技术”。 Gartner ——“76%的人力资源领导者认为，如果他们不在未来12到24个月内采用和实施生成式 AI，他们将在组织成功方面落后”。 然而，在数字人力资源领域这样一个令人兴奋的领域里，成功取决于某个类似却独特的东西——了解自己的极限。例如，我们鼓励每位人力资源主管在阅读本文时问自己以下几点： 您了解组织人力关系与数字关系的局限性吗？ 您是否审核了员工对数字化转型的准备情况？ 您有没有评估过什么是好的变化，你知道如何衡量它吗？ 最后，您是否了解人工智能供应商的格局——谁在制造什么，有什么作用，对你有用吗？ 从这开始，您将更好地了解 AI 如何为您提供帮助。 4.基于技能的战略劳动力规划方法 “转型的头号挑战是缺乏工作能力和技能，但只有五分之二的人力资源专业人士了解其组织该有的技能”——Mercer《2024年5个人力资源趋势：你能做些什么来保持领先？》 战略性劳动力规划（SWP）需要一种默契，即战略本身意味着对招聘和留住人员的转变方式保持敏感，而平衡全部人力资源责任和预算潜力意味着要对 SWP 的流程进行长期审视。 这包括从更多基于技能的角度看待技术，尤其是在数字化转型时代。正如 Visier 所强调的那样，“86%的员工表示，他们的雇主应该在技能再培训方面发挥更多作用，以确保他们不会轻易被人工智能工具取代”。 Gartner 认为内部流动令人信服的影响是成功的关键，“66%的人力资源领导者（他们自己也同意）其组织内的职业道路与许多员工的职业道路相比并不引人注目”。 创造一个引人注目的工作文化不会付出很大的代价，而是意味着为员工和业务发展赋予意义，并为企业完美地穿针引线，帮助企业和个人发展相关专业知识。正如大卫·格林（David Green）所强调的那样，这意味着要推动以技能为基础的SWP招聘，并将更大的业务目标与人力资源优先级联系起来，Mercer证实了这一点。 5.人员分析和加强决策能力 如果数据不能产生影响，那它还有什么用呢？ 说到这，David Green 再次强调了关于人员分析如何在 CHRO 层面创建增强决策文化的可用情报，该文化将集中在人员分析和 CHRO 之间改进的关系上， “Insight222 的第四届年度人员分析趋势研究发现，人员分析的重要性和影响力继续增长，22%的人事分析领导者正在向首席人力资源官报告”。 人员分析领导者和首席人力资源官都需要将大量不同的业务优先事项和数据集结合起来，以推动个性化决策。这包括将伦理、数据民主化、数据影响和业务优先事项的影响放在组织转型和成功的保护伞下。 这意味着最优秀的人员分析专业人员可以提供可分析并可付诸实施的洞见-正如 Visier 所强调的那样，这就是为什么如此多的小型和新兴公司处于竞争激烈的时代，因为他们可以使用大量超详细的大数据以更敏捷的方式创建更具吸引力、更敏锐的业务决策。 6.与业务保持一致 一致性对许多人来说有很大的意味，但从本质上讲，如果人力资源部门要继续并提升其价值并确保组织敏捷性，那么： HR 和最高管理层需要加强联系。 人力资源和财务部门需要更加紧密地联系在一起。 David Green 通过 Insight222 的研究来证实，人力资源和财务部门越来越需要同步工作——“在271家公司中，接受调查的65家公司确认他们已经与财务部门建立了合作伙伴关系，其中99%的公司报告说，人员分析团队在过去12个月中取得了巨的成果”。 在2024年，为人力资源分析构建业务案例不是我们必须做的事情，但可惜的是，这通常是正在进行的人力资源预算和投资的核心对话。 解决之道在于使用最清晰、最明显的工具——人员和数据——来讲述人力资源故事。这种共生关系正是Visier研究所强调的，并建议人力资源领导者将他们的人员管理思维方式转变为“人力资源是一种操作系统，而不是一种运营模式”。 7.提高人力资源和劳动力的技能 这场无休止的技能提升之战将持续到2024年。但它将有自己的特点，在某种程度上受到人力资源投资性质变化以及人工智能和新技术的光速发展的影响。 伯纳德·马尔（Bernard Marr）对此的独特见解说明了这一领域的情况-——“了解生成式人工智能等变革性技术将如何增强现有人员能力，以及需要哪些素质和能力（战略思维，解决复杂问题，创造力，情商）来补充机器的短板”。 在人工智能时代，人机界面的发展将对劳动力如何重新掌握技能和提高技能产生巨大影响，随着数字原住民担任越来越多的领导角色，一般计算机素养和用户体验/用户界面的持续发展也将产生巨大影响。但是，当“到2028年，44%的工人技能将被颠覆”时，技能提升应该被正确地推到投资组合优先事项清单的首位。 8.多元化、公平、包容和归属感（DEIB） 大流行后“大辞职”生态系统的一个支柱是工作场所中的平等——更公平的工作条件、更多的工作与生活平衡、更好的代表性和更具包容性的工作场所。 2023年，我们认为释放 DEIB 的力量是未来一年人力资源领导者的重要关注点，利用分析工具和情绪分析工具等多种工具来改善招聘可衡量指标。 那么我们现在处于什么位置呢？尽管我们为使 DEIB 脱颖而出所做的所有艰苦工作，但仍许多需要做，正如 Visier 在下面的研究。 DEIB 策略确实存在失去重点的风险。但请记住，一家拥有成熟的多元招聘文化、建立在包容性工作场所基础上的公司，对从公司业绩到 ESG 的方方面面都有深远的积极影响。正如大卫·格林（David Green）提醒我们的那样，大多数工人认为DEIB是一件好事，其商业案例也很清楚。 “Insight222 的研究发现，在2023年（连续第三年），DEIB 是人员分析增加最多商业价值的领域”。 2024年应该是我们推进 DEIB 的一年，保持势头并推动积极变革。 简而言之，坚持到底——现在放松警惕将导致长期劳动力规划（WFP）的严重失败，同时增加代表性不足的社区的变革机会。 9.提升员工敬业度和留任率的新方法 最重要的是，许多提高员工敬业度的新方法将决定未来一年的企业发展。 2023年独特的经济困境催化了英国、法国、德国和美国这一代人中一些最大规模的工作场所罢工，而普遍的技能短缺继续困扰着多个行业。伯纳德·马尔（Bernard Marr）将过去几年从被动接受不良工作规范到主动采取行动的转变带入了敏锐的视角——“根据美国劳工统计局的数据，涉及1,000多名工人停工，比2021年停工人数多了近 50%”。 Unleash 进行的研究表明，绩效和生产力已成为2024年人力资源领导者的首要任务，从敬业度中夺得桂冠。但在混合时代，二者缺一不可。敬业度被渗透到组织的方方面面，而2024年是实现这一目标的一年。 在2024年，我们需要通过加强员工体验的个性化，通过真实、有意义的参与来提高生产力（和幸福感），David Green 强调这是他为 HR 培养倾听组织的第12次机会。然而，正如 Unleash 所强调的那样，“不仅要关注员工调查中的指标，还要分享员工故事，以真正了解数据对高管的意义”。 为此，人力资源、员工和领导层之间应该建立一种，在道德领导、薪酬透明度（正如 Culture Amp 正确强调的那样）薪酬差距报告以及 Mercer 所强调的值得认可的基础上的关系。 将敬业度与业务和个人成果联系起来至关重要。Mercer薪酬调查和数据业务负责人Chi Tran完美地描述了这一演变。 “新冠肺炎疫情之前起作用的管理方式不再有效......留住员工将是一个重点，这意味着在职业道路、技能再培训和技能提升方面优先考虑员工福利。我们还看到，雇主将更大比例的薪酬预算用于可变薪酬，这些薪酬可以根据业务绩效进行调整。 2024年及以后的人力资源趋势 作为各地人力资源领导者的缪斯女神，Hung Lee 在他的文章《2024年：决定人力资源领域的7个趋势》中说到： “员工体验不容小觑——对于许多组织来说，这将是一场文化革命”。 在2023年经济动荡之后实施新战略将非常困难，而整个组织的支持是关键。如果能注意到上述情况，我们相信人力资源团队可以确保他们的组织采取积极主动的方法来提高工作场所绩效、幸福感、敬业度，以及至关重要的留住优秀员工。 2024年——充满无限可能性的一年！ 利用 Insight222解锁人员分析功能 在 Insight222，我们的使命是通过将人员分析置于业务中心并提高人力资源专业的技能来使组织变得更好。Insight222 人员分析计划®是您通往知识、网络和成长世界的门户。该计划专为人员分析领导者及其团队开发，为您提供创造更大影响力所需的工具、见解和关系。 随着人员分析的格局变得越来越复杂，数据、技术和行业道德越来越重要，我们的计划汇集了一百多个组织，共同应对这些挑战。 Insight222 同行会议是 Insight222 人员分析计划®的核心组成部分。它们允许参与者一起学习、交流和共同创造，最终提高人员分析可以为其组织提供的业务价值。 SOURCE MyHRfuture  
    generative AI
    2024年01月17日
  • generative AI
    Hireology Named Best Applicant Tracking System of 2024 by Hotel Tech Report Hireology's recognition by Hotel Tech Report showcases their ability to understand the unique needs of the hotel sector and deliver innovative solutions. With an increasingly competitive job market, hiring the right personnel is crucial for hotels to maintain their high standards of service and guest satisfaction.   "We’re excited to announce that Hireology has ranked #1 overall on the Global Best Applicant Tracking Systems (ATS) list in the 2024 HotelTechAwards! The HotelTechAwards are produced by Hotel Tech Report, the leading authority on hotel software and digital transformation in the hotel industry." Often referred to as “the Grammys of hotel tech,” the HotelTechAwards rank the world’s best hotel software companies and products based on authentic, timely reviews from real users. Winners have been selected from more than 200 of the top technology products around the world. “The ranking process is simple, transparent, and unbiased — judging is based on time tested ranking factors developed specifically for the industry. Only verified hoteliers with hands-on experience using each product are allowed to participate in the voting process. This means that Hireology’s users decided the #1 ATS,” said Hotel Tech Report CEO, Jordan Hollander. With more than 10,000 customers, Hireology is the only applicant tracking system built to power better hiring for multi-location businesses that largely rely on skilled talent like hotels. Our platform makes it easy for users to source quality talent across key channels, streamline hiring with innovative recruitment automation, and make smarter hiring decisions rooted in data. “This recognition from Hotel Tech Report validates the work we’re doing at Hireology to help hotels capture more than their fair share of quality talent and fill critical revenue-driving roles faster,” said Adam Robinson, CEO at Hireology. “We’re grateful for every customer who helped us earn the top spot on this list, and we’re looking forward to helping even more hotels navigate today’s challenging hiring market and achieve their goals in 2024 and beyond.” In 2023 alone, Hireology launched several critical product updates that are designed to help their hotel customers not only attract better quality talent but also streamline the hiring process to fill critical roles faster, including: Indeed Sponsored Jobs integration: Sponsor jobs on Indeed directly from the Hireology platform — helping you maximize your reach to top candidates and make hires faster all without ever leaving Hireology Innovative ChatGPT integration: Leverage generative AI to instantly craft quality descriptions for new open jobs Enhanced candidate communication automations: Keep candidates engaged and reduce no-shows with automated messaging for routine updates Employee referral campaign templates and manager: Quickly launch optimized text and email campaigns and start driving quality referrals faster Hotel Tech Report’s lists are based on data from over 16,000 verified customer reviews during the HotelTechAwards period. These reviews were written and published between September 1,2023–December 15,2023, with participation from every major hotel brand and thousands of independents. In one review, a Hireology customer noted how they’ve driven better quality candidates and made smarter hiring decisions with our platform: “With Hireology I am able to track all of my candidates from the various recruiting websites and see all the candidates in one spot. With their screening tools I am able to pick out the candidate that has the most potential to be a good fit for the position. I have a better turn out and response rate for candidates that I have considered, and I have had a better quality of candidates who show up to the interview. The candidates that I have hired have become invaluable assets to my property.” Today’s announcement comes at the heels of the Winter G2 awards, where they placed in the top 10 in more than 200 reports and earned the top spot in 28—including referral programs, recruitment marketing, and HR analytics. Additionally, Hireology was recently named the American Hotel and Lodging Association’s (AHLA) Leadership Partner for Talent Technology. Learn more about this partnership here. To learn more about Hireology’s hospitality-specific ATS, take a self-guided virtual tour today! Or reach out to one of our experts for a free 1:1 consultation. SOURCE Hireology
    generative AI
    2024年01月10日
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