The best HR & People Analytics articles of December 2023
The December edition of my monthly compendium is an opportunity to reflect on the year that has nearly passed and look forward to what lies ahead. 2023 has proved to be another challenging year full of geopolitical tension, economic uncertainty, and climate inaction. For HR and people analytics professionals, it has been a year dominated by generative AI, skills, and the continuing journey of HR from support function to strategic partner.
HR’s elevation to being a strategic partner is the underlying theme of my recently published 12 Opportunities for HR in 2024 article (see FIG 1). If you’d like to contribute suggestions for opportunities 11 and 12, please click here and add your suggestion in the comments.
FIG 1: 12 Opportunities for HR in 2024 (Source: David Green)
Despite managing to catch Covid on the flight home, I thoroughly enjoyed my recent trip to India, at the end of November, where I spoke at the Indeed FutureWorks event in Bangalore. A huge thank you to Aarti Deoskar, Jessie Paul, Rittik Mondal, Rohan Sylvester, and the Indeed team for inviting me.
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 once again highlight the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers nearly 500 roles.
Happy Holidays!
I wish all readers who are taking a break over the festive season Happy Holidays, and a prosperous and healthy 2024. Thank you to everyone who has supported Insight222, myHRfuture and the Digital HR Leaders Podcast in 2023. It’s much appreciated.
Share the love!
Enjoy reading the collection of resources for December 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 November’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.
2023 HR RETROSPECTIVES AND 2024 PREDICTIONS
DAVE ULRICH - The State of HR: Looking Back and Envisioning Forward | McKINSEY - What matters most? Eight CEO priorities for 2024 | CULTURE AMP - 7 trends that will define HR in 2024 | KEN OEHLER - RADICL People Predictions for 2024 | VISIER – The New Rules of HR: 10 Workforce Trends for 2024 | i4CP – 2024 Priorities and Predictions
Putting my own 12 Opportunities for HR in 2024 to one side, there are a plethora of other trends and predictions being published. Six resources that I recommend digging deeper into come from Dave Ulrich, McKinsey, Culture Amp, RADICL, Visier Inc. and Institute for Corporate Productivity (i4cp). (1) Dave Ulrich looks back on the main themes in HR in 2023, declares “Now is the time for HR,” and outlines four areas where his firm, The RBL Group, will be conducting think tanks in 2024. (2) Homayoun Hatami and Liz Hilton Segel of McKinsey present eight CEO priorities for 2024 including Learn to love your middle managers. (3) Didier Elzinga and Damon Klotz co-opt contributions from Stacia Sherman Garr, Justin Angsuwat, Dr Kirstin Ferguson AM, and Hung Lee for their thoughtful seven trends that will define HR in 2024 including greater pay transparency, staying human as intelligent tech evolves, and regaining trust. (4) RADICL’s Ken Oehler presents five people predictions for 2024, with my favourite being #4 Attention Shifts to Solving Distributed Team Effectiveness (see FIG 2 for RADICL’s model of distributed team effectiveness: Coordination, Connection and Competence). (5) Visier collect trends from a number of industry luminaries and practitioners including Wendy Evesque, Michael Salva, Melissa Arronte, and Eric Bokelberg, with the lead trend being: The CHRO Leads From the Outside-In. (6) Last but not least, in his Foreword to i4CP’s annual look at priorities and predictions, Kevin Oakes highlights the dominance of AI and provides an illuminating insight on the direct correlation between the adoption of AI and business performance: “AI Innovators are more likely to have higher market performance, increased levels of innovation and productivity, and healthier cultures than those that have been slower to adopt AI.”
Now is the time for HR
FIG 2: The Collaboration Opportunity for distributed team effectiveness (Source: RADICL)
PEOPLE ANALYTICS
ROB BRINER - Evidence-based HR and people analytics are the same, right? Afraid not
Rob Briner examines the relationship between people analytics and evidence-based HR, explaining each of them, outlining the differences (see FIG 3) and concluding that: “While people analytics is a welcome and necessary development within the HR profession and certainly goes some way to helping HR become more effective, it is not, on its own, enough.” Rob also highlights the three key principles of evidence-based HR: (1) Incorporate multiple sources and types of evidence and information. (2) Adopt a structured and explicit process of gathering and using evidence. (3) Focus on the most trustworthy and relevant evidence.
FIG 3: Differences between people analytics and evidence-based HR (Source: Rob Briner)
PATRICK COOLEN - Establishing people analytics as a common practice (part II)
This article by Patrick Coolen, which follows up Part 1 where he presented his People Analytics FIT model, dovetails nicely with Rob Briner’s article as it focuses on the evidence-based HR services provided by people analytics functions. In the article, Patrick recommends that to establish people analytics as a common practice companies should not only focus on becoming more mature in the evidence-based HR services but in integrating these services too. Patrick provides a roadmap to achieving this (see FIG 4) as well as outlining three reasons for integration: (1) Integration leads to faster and higher-quality delivery. (2) Integration attracts experienced people analytics leaders. (3) Integration supports being a strategic advisor.
High impact people analytics practices integrate various evidence-based HR services
FIG 4: Road map strategies for people analytics practices (Source: Patrick Coolen)
JAAP VELDKAMP AND HELEEN GOET - How to determine your success KPIs in HR
This is a great article by Patrick Coolen’s erstwhile colleague and successor as Head of People Analytics at ABN Amro, Jaap Veldkamp. In the article, Jaap – together with Heleen Goet – outline the process followed at ABN Amro for establishing a clear link between each HR service and its impact on business outcomes. It outlines a ‘define your success’ workshop conducted between the people analytics team and HR at the bank to link each service to output and outcomes (see example in FIG 5). The article also outlines two benefits of this approach: (1) It leads to better collaboration between various teams in HR. (2) It magnifies the broader advisory role of people analytics.
FIG 5: Source: Jaap Veldkamp and Heleen Goet
NAOMI VERGHESE AND DAVID GREEN - The Importance of Ethics in People Analytics for Leading Companies
Naomi Verghese and I explore the critical topic of ethics, which is one of the eight characteristics of Leading Companies in People Analytics identified in the recently published Insight222 People Analytics Trends study. In the article, Naomi and I outline three key practices on ethics adopted by Leading Companies in their people analytics work. (1) Strong Ethical Principles - including the development of an Ethics Charter, with an example from Jaap Veldkamp of ABN AMRO. (2) Open Communication – including the ‘Fair Exchange of Value’, with a contribution from Dawn Klinghoffer on the importance of communicating value to employees. (3) Ethics Oversight – including the institution of an ethics and privacy council (see FIG 6).
The “Fair Exchange of Value” is a key mantra for people analytics teams. If employees understand how their data will be used and see the benefit, it is far more likely that they will contribute data.
FIG 6: Ethics and Privacy council for people analytics (Source: Excellence in People Analytics by Jonathan Ferrar and David Green)
TOM REDMAN AND TOM DAVENPORT - The Rise of Connector Roles in Data Science
In our research at Insight222, one of the characteristics of Leading Companies is that they invest in three key skills in their people analytics team: consultants, data scientists and behavioural scientists. In their article, Tom Redman and Tom Davenport outline the role of connectors, who bridge the organisational gaps that often thwart success with data science projects, and whose key responsibilities mirror many of those attributed to the people analytics consultant in the Insight222 Operating Model. These include: (1) Framing the problem to be solved. (2) Translating between business and technical people. (3) Communicating requirements, progress, and issues within the team. (4) Keeping track of progress toward the overall goal of deployment and organisational change when nobody else sees the big picture. The article outlines how connectors close the gap, provides guidance on how to manage connectors, and provides examples of what companies are trying in this area.
Connectors help senior business leaders understand both the potential and challenges of data science, help data science leaders understand the top problems facing the business, and establish a portfolio of data science projects that aligns with business needs.
BEN TEUSCH - An incomplete starter's guide to attrition metrics | SARA TIEW - Thriving Together: A Year on UOB's Culture Transformation Journey | JACKSON ROATCH – Lessons from Sports Analytics | LYDIA WU - HR in 2024: A Practitioner’s View | MATTHEW HAMILTON - How data quality is like a DIY haircut
November has seen a number of articles written by current and recent people analytics leaders, which typically act as a spur and inspiration for the field. Five are highlighted here: (1) Ben Teusch, part of Meta’s people analytics team, provides a helpful to attrition metrics (see FIG 7). (2) Sara Tiew provides insights from UOB’s culture transformation journey over the last 12 months. (3) Jackson Roatch draws four lessons from sports analytics that we could look to apply in the “less perfect world” of people analytics. (4) Lydia Wu continues her prolific ‘Oops, did I think that out loud’ series by looking into her crystal ball to see what is in store for HR and people analytics in 2024. (5) The nearly as prolific Matthew Hamilton explains why the maxim of people assuming that the better the data quality, the better the analysis is often not correct.
FIG 7: Source: Ben Teusch
GENERATIVE AI AND THE FUTURE OF WORK
PLACID JOVER - The Future of Work is Flexible
In this article, Placid Jover, Chief Talent and Reward Officer, presents three innovations Unilever is making to embrace a move from owning to accessing talent. (1) The Skills Passport (“As companies jostle to build a complete picture of what they need and how to get there, we’re fast learning that the real currency is skills”). (2) The Internal Talent Marketplace (“We have already seen a 40% increase in productivity and a significant reduction in attrition directly linked to Flex Experiences”). (3) The Pixelated Workforce (“Breaking down work into its core elements or “pixels”, then dividing those up between permanent staff and contractors, with the AI recommending teams or individuals for missions based on how they work with others as well as how they perform”). For more from Placid, I recommend listening to this episode of the Digital HR Leaders podcast: How Unilever is Creating New Ways of Working for Its Employees.
As companies jostle to build a complete picture of what they need and how to get there, we’re fast learning that the real currency is skills
RICHARD FLORIDA, VLADISLAV BOUTENKO, ANTOINE VERTRANO, AND SARA SALOO – Rethinking Corporate Location Strategy: The Rise of the Meta City
In their Harvard Business Review article, Richard Florida, Vladislav Boutenko, Antoine Vetrano, and Sara Nasir Saloo outline the structure and logic in where and how businesses locate their offices and compete for talent. Their research identifies the rise of a new type of city, the ‘Meta City,’ which combines elements of physical clustering with digital connectivity (see FIG 8). They argue that this makes location strategy even more important including corporate headquarters, innovation centres, and satellite offices — and more significantly, talent attraction and retention. A must-read for those involved in talent intelligence, hybrid work strategy and strategic workforce planning.
FIG 8: Ranking the world’s Meta Cities (Source: Florida et al)
PETER JOHN LAMBERT, NICHOLAS BLOOM, STEVEN DAVIS, STEPHEN HANSEN, YABRA MUVDI, RAFFAELLA SADUN, AND BLEDI TASKA - Research: The Growing Inequality of Who Gets to Work from Home
Data is increasingly showing that there is a large and growing divide in terms of who gets to work from home. In their Harvard Business Review article, Peter John Lambert, Nick Bloom, Steven J. Davis, Stephen Hansen, Yabra Muvdi, Raffaella Sadun, and Bledi Taska, Ph.D. present research on job postings, which finds that remote work is far more common for higher paid roles, for roles that require more experience, for full-time work, and for roles that require more education. Managers should be aware of this divide, as it has the potential to create toxic dynamics within teams and to sap morale. For more from Nick Bloom, tune in to his conversation with me on the Digital HR Leaders podcast: Unmasking Common Myths Around Remote Work.
FIG 9: Work-from-home opportunities are more common for highly-paid jobs (Source: Lambert, Bloom et al)
RYAN ROSLANSKY - Talent Management in the Age of AI | GIANNI GIACOMELLI - Learning and Talent Management in the Age of AI | TOMAS CHAMORRO-PREMUZIC - 4 science-backed reasons AI is better at predicting your potential in a job | DAVID L. SHRIER, JULIAN EMANUEL, AND, MARC HARRIS – Is Your Job AI Resilient? | NADA R. SANDERS AND JOHN D. WOOD - The Skills Your Employees Need to Work Effectively with AI
A key opportunity for HR in 2024 will be to prepare the organisation and HR for the age of AI. Here are five articles that support this imperative. (1) LinkedIn CEO Ryan Roslansky highlights three big shifts to support success a) redefine jobs as a collection of a skills and tasks, not titles, b) bring skills and workforce learning to the centre of talent management, and c) embrace AI to focus teams on human-to-human collaboration, and shares examples from IBM, Genpact, Unilever as well as LinkedIn. (2) Gianni Giacomelli provides more detail on the Genpact example cited by Ryan in his article explaining how they have connected internal mobility, learning, engagement and collaboration (see FIG 10). (3) The brilliant Dr Tomas Chamorro-Premuzic digs into the science to present four ways that AI is better at predicting potential including how AI can increase fairness and diversity. (4) David Shrier, Julian Emanuel, and Marc Harris outline their research on which jobs will be most affected by AI, including which stand to benefit the most from augmentation by AI (see FIG 11). (5) Nada Sanders and John Wood present findings from their research, which highlights two key areas of investment in skills related to AI: a) effective interpersonal skills, and 2) domain knowledge that can help workers get the most — and make the best decisions — when working with AI tools.
FIG 10: Source – Gianni Giacomelli, Genpact
FIG 11: AI Proficiency relative to human by cognitive task (Source: Shrier et al)
THE EVOLUTION OF HR AND DATA DRIVEN CULTURE
MARIE NEICU, JOAN BEETS, FRANK VAN DEN BRINK, BEAU HOES, AND EDIS PAJIC – Humanized Growth and Multistakeholder Value Creation: Perspectives from Chief Human Resources Officers| McKINSEY - How is the CHRO role changing?
Two resources exploring perspectives from chief human resource officers and how the role is changing. Firstly, the KennedyFitch team of Maria Neicu, Joan Beets, Frank van den Brink, Beau Hoes, and Edis Pajic share the findings from structured interviews with 30 CHROs including Janine Vos, Katarina Berg, Paulo Pisano (also see episode of the Digital HR Leaders podcast with Paulo below), Mala S., and Loren I. Shuster. The report is framed around the concept of humanised growth, which is defined as: “Humanized Growth addresses the needs of all shareholders, consumers, colleagues, community and the capital Markets.” It explores the role of the people function as a strategic partner, how to harness technology for impact, how to advance diversity, equity and inclusion, and why humanised growth starts with the employee experience. The second article from McKinsey examines the evolution of the HR operating model, how CHROs are putting the ‘human’ back into human resources, how GenAI will affect the HR function, and how CHROs can build the leadership capabilities required for an agile transformation.
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
RICHARD ROSENOW - The SOAPI Framework - A New Lens for Modern Workforce Planning
Richard Rosenow is one of the best thinkers in our field and demonstrates it with his paper for One Model introducing his SOAPI framework for workforce planning. As he explains, it is a methodology that offers a structured method to break workforce planning into component parts. Each component represents a pillar, collectively forming the discipline of workforce planning. These are: (1) Strategy, (2) Operations (3) Analytics, (4) Planning, and (5) Intelligence. The paper breaks each of these down, and details what happens if one of these pillars is missing (see FIG 12).
FIG 12: Source: Richard Rosenow, One Model
SCOTT REIDA - Zero-based workforce planning with ChatGPT in Tableau
A brilliant, practical, and open-source guide on zero-based workforce planning with inputs from ChatGPT and outputs in Tableau, which has been created by Scott Reida, a workforce strategist at AWS. Scott defines zero-based workforce planning as “A methodology that can shape how businesses align their human capital with organizational goals and enable a more cost-effective solution that gets closer to having the right people at the right time.” His article provides a step by step guide to creating a dashboard (available here) that utilises outputs from ChatGPT for demand and aligns them with the supply of FTEs, facilitating the understanding of capability gaps.
FIG 13: Source: Scott Reida
JEFF WILLIAMSON AND DONNCHA CARROLL - How to Start Smart With a Talent Marketplace
Despite some of the hype, launching an internal talent marketplace can be a significant challenge for organisations. In this article, Jeffrey Williamson and Donncha Carroll share the journey to implementing a talent marketplace at Booz Allen and the key lessons learned with regards to user adoption and change management. The article outlines four lessons: (1) Bring on the gamification (gamifying learning and offering recognition and rewards to employees who invested in their own development). (2) Data goals must be relevant to individual career goals. (3) Even change management needs to change (see FIG 14). (4) Momentum, motivation, and measurement matter a great deal.
FIG 14: Four Culture Challenges to Conquer with a Talent Marketplace (Source: Jeff Williamson and Donncha Carroll)
BRIAN FISHER, MELBA GANT, VASILIS HATZOPOULOS, KATIE JENKINS, HEATHER RYAN, AND PETER STEVENSON - 2023/2024 skills snapshot survey report: Skills-powered practices, future pay and effectiveness
Mercer’s fourth annual Skills Snapshot Survey has a wealth of insights and guidance that highlight the progress many companies are making to embrace platforms and data to action skills-based strategies. In the paper, the authors (Brian Fisher, Melba Gant, Vasilis Hatzopoulos, Katie Jenkins, ?Heather Ryan , and Peter Stevenson) outline the benefits of skills-based practices (see FIG 15), how to build a skills foundation, how to determine the frequency of skill assessment, how to tackle skills-based rewards programs, and provide five steps to building a skills-based talent strategy: (1) Build the business case. (2) Align the key performance indicators. (3) Design with the end in mind. (4) Prioritise change management. (5) Drive and sustain. Also features contributions from Amy Baxendale and Anshul Sheopuri.
FIG 15: The benefits of skills-based practices (Source: Mercer)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
NICK LYNN - Can you have high employee engagement and high turnover?
Nick Lynn reveals that nearly 20% of companies have both high employee engagement and high turnover; and then provides a wealth of guidance on what you can do about it if that’s the case for your company. He breaks down employee engagement and although it can be related to retention, why it is different. Nick shares insightful research from the CIPD on the and WTW on the drivers of employee engagement and experience, with the latter providing analysis and guidance on the links between engagement, performance, and retention. The article highlights WTW research by angela paul and Stephen Young, where they segmented 350 companies according to both the level of employee engagement and the level of retention, comparing each to their respective industry average (see FIG 16), and how companies in the top right quadrant (‘Value Drive’) also have a performance advantage, delivering the best profits and growth (also see FIG 16). Finally, Nick outlines a three-step approach for companies in the Value Risk category: Understand — Prioritise — Spark Change. I also recommend subscribing to Nick’s equally insightful EX Leadership Newsletter.
FIG 16: Source – WTW
INDRANEEL BANERJEE, AVINASH CHANDRA DAS, JATIN PANT, AND SHIKHA SHARMA - Employee experience still matters: Talent retention at GCCs
While focused on ways to improve employee retention at Global Capability Centres, the five actions to improve employee experience outlined by Indraneel 'Indy' Banerjee, Avinash Chandra Das, Jatin Pant, and Shikha Sharma in their article for McKinsey could be implemented in other business areas. The five actions are (1) Use personas and journeys to customise EX. (2) Reimagine the role of manager to emphasise coaching and mentorship (see FIG 17). (3) Find new ways to embed culture and values for a hybrid work environment. (4) Redesign the office for collaboration and connection. (5) Rethink the traditional workday.
Executives should treat EX as seriously as CX by being more scientific and more tailored in their approach.
FIG 17: The roles of manager need to be redesigned to focus more on coaching and mentoring (Source: McKinsey)
LEADERSHIP AND CULTURE
RAINER STRACK, SUSANNE DYRCHS, AND ALLISON BAILEY - Use Strategic Thinking to Create the Life You Want
How can we apply the learnings from corporate strategy projects to our own lives? That’s the unlikely – but ultimately captivating – exam question tackled by BCG’s Rainer Strack, Dr. Susanne Dyrchs, and Allison Bailey in their absorbing Harvard Business Review article. The authors present the seven steps they typically use to conduct a corporate strategy project and show how these can be adapted to an individual (see FIG 18). They then describe each of the seven steps with insights and powerful visualisations, as well as demonstrating how to develop a personal life strategy and summarise it on a single page. File under must-read.
FIG 18: From corporate strategy to life strategy (Source: Strack et al)
MCKINSEY HEALTH INSTITUTE - Reframing employee health: Moving beyond burnout to holistic health
Jacqui Brassey, PhD, MA, MAfN (née Schouten), Brad Herbig, Barbara Jeffery, and Drew Ungerman present the key findings from a recent McKinsey Health Institute study that offers insights into how leaders can help create a workplace that prioritises physical, mental, social, and spiritual health. Three standout findings are (1) Employees who had positive work experiences reported better holistic health, are more innovative at work, and have improved job performance. (2) For employees, good holistic health is most strongly predicted by workplace enablers, while burnout is strongly predicted by workplace demands (see FIG 19). (3) Organisational, team, job, and individual interventions that address demands and enablers can boost employee holistic health.
FIG 19: Source: McKinsey Health Institute
DIVERSITY, EQUITY, INCLUSION, AND BELONGING
McKINSEY - Diversity matters even more: The case for holistic impact
The fourth report in a McKinsey series stretching back to 2015, investigating the business case for diversity. The main takeaway is that the 2023 study finds that the business case is the strongest it has been yet with leadership diversity being convincingly associated with business performance, societal impact and employee experience (see FIG 20). The full 52 page report details case studies from the likes of IHG Hotels & Resorts, DHL Group, and Air New Zealand, as well as presenting five levers for change for moving from commitment to action. Kudos to the authors: Dame Vivian Hunt, Sundiatu Dixon-Fyle, Celia Huber, Maria del Mar Martinez, Sara Prince, and Ashley Thomas.
FIG 20: The business case for diversity on executive teams and financial outperformance (Source: McKinsey)
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 December that I recommend readers delve into:
ERNEST NG - What Matters Now: Embracing the New Era of Disclosures for All HR Technology Stakeholders – Ernest Ng, PhD of HiredScore explains why disclosure is a critical tool to maintain trust and legitimacy across four areas (1) Employer Disclosure with Candidates/Employees. (2) Solution Provider Disclosures to the Buyer. (3) Organisational Disclosures to the Government. (4) Industry Analysts with Consumers – the latter is one, I’d personally like to see more of us talking about as we head into 2024.
JAMAL MAZYCK - How Employee Resource Groups help build a culture of belonging - Jamal Evan Mazyck, Ed.D provides insights from Atlassian’s journey in building Employee Resource Groups, and how they engender a sense of belonging: “It’s not enough to recruit talent from underrepresented groups and give them equal access to opportunities; once they’re in the door, these employees need to feel that they belong.”
STEVE HUNT - The Skills Management Revolution: one-year, two-year, and three-year predictions – SAP’s Steve Hunt breaks down skills management in his article, which covers what it is, why it’s important, the three ontologies companies are building with skills management solutions (labour market, organisational and employee/candidate/contractor), and a one, two, and three year outlook on how these solutions will reshape the nature of work and organisations.
FIG 21: Source – Steve Hunt
FRANCISCO MARIN - Reducing Employee Attrition with ONA: A Case Study from a European IT Company - Francisco Marin from Cognitive Talent Solutions presents a case study of a European IT company to showcase how ONA can be used to help predict and mitigate attrition, ultimately leading to a more stable and productive workforce.
PHIL ARKCOLL - Developer Experience: The Developer Centric Approach to Productivity - Another great read from Philip Arkcoll of Worklytics. This time Phil outlines how by using active and passive listening with the objective of working to improve the developer experience, organisations can get developer buy in, boost productivity and attract top technical talent.
FIG 22: Source – Phil Arkcoll, Worklytics
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
JASON AVERBOOK - Generative AI: Revolutionizing the Employee Experience - In this episode of the Mercer | Leapgen AI-volution: Redefining HR podcast, Jason Averbook explores the transformative power of generative AI in shaping the future of employee experience.
AARON DE SMET, ANGELIKA REICH, ROBERTA FUSARO, AND LUCIA RAHILLY - Who is productive, and who isn’t? Here’s how to tell - In an episode of The McKinsey Podcast, Aaron De Smet and Angelika Reich talk to hosts Roberta Fusaro and Lucia Rahilly about their latest research on employee productivity.
KAYE SLAY, VANDANA BHAGTANI, STACIA GARR, AND DANI JOHNSON - Narrowing Scope & Purpose to Ease the Transition to a Skills-Based Organization – Another great episode of RedThread Research’s Workplace Stories podcast where Vandana Bhagtani and Kaye Slay-Pruitt, UXC share with Stacia Sherman Garr and Dani Johnson how they’ve worked together to develop a strategy for transitioning Hewlett Packard Enterprise to a skills-based organisation.
DOUG SHAGAM, COLE NAPPER, AND SCOTT HINES - People Analytics at J&J & Playing Drums – Doug Shagam joins Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss some of the great work the J&J team is doing in people analytics.
VIDEO OF THE MONTH
AMY EDMONDSON, ADAM GRANT, AND DES DEARLOVE - Decoding failure, debunking feedback, & harnessing learning for success
A fascinating conversation with Amy Edmondson and Adam Grant, who have just been recognised as #1 and #2 respectively on the prestigious Thinkers50 list of management thinkers. In the discussion with Des Dearlove, Amy and Adam discuss how to manage (and maximise learning from) failure and how to unlock hidden potential (it’s not about where you start; it's how far you can go).
BOOK OF THE MONTH
KATE BRAVERY, ILYA BONIC, AND KAI ANDERSON - Work Different: 10 Truths for Winning in the People Age
I'm currently reading the recently published book by Kate Bravery, Ilya Bonic, and Kai Anderson, which is based around 10 'truths' that are shaping the world of work. Three of the truths are: (1) Purpose rules and empathy wins. (2) Intelligence is getting amplified. (3) Skills are the real currency of work. Packed with insights, guidance, and examples, the book should be an indispensable resource for executives, managers, board members, human resources professionals, and other business leaders.
FROM MY DESK
December saw the final four episodes of Series 35 of the Digital HR Leaders podcast, sponsored by our friends at HiBob . Thank you to Louis Gordon .
MADELINE LAURANO - How to Buy HR Tech and Use It Effectively – Top industry analyst Madeline Laurano joins me to discuss the key themes on HR Tech in 2023, and what lies ahead in 2024 (see video below).
SARAH REYNOLDS - A CMO's Approach to Mastering Pay Transparency – HiBob’s Sarah Reynolds joins me to discuss the intersection of HR and marketing, the business benefits of pay transparency and its importance for DEIB.
PAULO PISANO - Booking.com’s 360-Degree View of Employee Experience – In our conversation, Paulo Pisano, Chief People Officer, outlines how Booking leverages data to enhance employee experience, streamline talent management across its international operations, and ensure that its workforce strategies are both effective and adaptable in a constantly changing business environment.
HEBBA YOUSSEF - Navigating HR Tech Triumphs & Avoiding Failures – Hebba Youssef, Chief People Officer at Workweek joins me to discuss the common pitfalls of implementing HR technology and strategies for success.
THANK YOU
Finally, this month I’d like to thank:
Abhilash Bodanapu for hosting me for lunch during my trip to Bangalore (see here) – it was wonderful to learn more about the people analytics journey bat Capgemini
Raja Sengupta (see here) for such a wonderful discussion on people analytics in Bangalore. It was wonderful to finally meet in person!
Geraldine Woloch-Addamine for including me in her list of Four Inspiring Voices on LinkedIn – it is humbling to be included in the same list as Amy, Adam, and Dave
Teamflect for including me in their list of 18 HR Influencers to Follow
Lanteria HR for including in their list of 10 favourite HR leaders of 2023
Dariush Franczak for including the November edition of the Data Driven HR Monthly in his list of HR resources
Thinkers360 for including the Digital HR Leaders podcast in their comprehensive list of 125 Podcasts from Thinkers360 Thought Leaders
CollectiveHR for including the Digital HR Leaders podcast with Nick Dalton in one of their Content of the Week collections
The prolific Esther Abraas for including the Digital HR Leaders podcast episode with Laura Wright Shubert in her collection of resources on strategic workforce planning
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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.
generative AI
2023年12月24日
generative AI
人工智能正在以比我预期更快的速度改变企业学习AI Is Transforming Corporate Learning Even Faster Than I Expected在《AI正在比我预想的更快地改变企业学习AI Is Transforming Corporate Learning Even Faster Than I Expected》这一文中，Josh Bersin强调了AI对企业学习和发展（L&D）领域的革命性影响。L&D市场价值高达3400亿美元，涵盖了从员工入职到操作程序等一系列活动。传统模型正在随着像Galileo™这样的生成性AI技术的发展而演变，这改变了内容的创建、个性化和传递方式。本文探讨了AI在L&D中的主要用例，包括内容生成、个性化学习体验、技能发展，以及用AI驱动的知识工具替代传统培训。举例包括Arist的AI内容创作、Uplimit的个性化AI辅导，以及沃尔玛实施AI进行即时培训。这种转型是深刻的，呈现了一个AI不仅增强而且重新定义L&D策略的未来。
在受人工智能影响的所有领域中，最大的变革也许发生在企业学习中。经过一年的实验，现在很明显人工智能将彻底改变这个领域。
让我们讨论一下 L&D 到底是什么。企业培训无处不在，这就是为什么它是一个价值 3400 亿美元的市场。工作中发生的一切（从入职到填写费用账户再到复杂的操作程序）在某种程度上都需要培训。即使在经济衰退期间，企业在 L&D 上的支出仍稳定在人均 1200-1500 美元。
然而，正如研发专业人士所知，这个问题非常复杂。有数百种培训平台、工具、内容库和方法。我估计 L&D 技术空间的规模超过 140 亿美元，这甚至不包括搜索引擎、知识管理工具以及 Zoom、Teams 和 Webex 等平台等系统。多年来，我们经历了许多演变：电子学习、混合学习、微型学习，以及现在的工作流程中的学习。
生成式人工智能即将永远改变这一切。
考虑一下我们面临的问题。企业培训并不是真正的教学，而是创造一个学习的环境。传统的教学设计以教师为主导，以过程为中心，但在工作中常常表现不佳。人们通过多种方式学习，通常没有老师，他们寻找参考资料，复制别人正在做的事情，并依靠经理、同事和专家的帮助。因此，必须扩展传统的教学设计模型，以帮助人们学习他们需要的东西。
输入生成人工智能，这是一种旨在合成信息的技术。像Galileo™这样的生成式人工智能工具 可以以传统教学设计师无法做到的方式理解、整合、重组和传递来自大型语料库的信息。这种人工智能驱动的学习方法不仅效率更高，而且效果更好，能够在工作流程中进行学习。
早期，在工作流程中学习意味着搜索信息并希望找到相关的东西。这个过程非常耗时，而且常常没有结果。生成式人工智能通过其神经网络的魔力，现在已经准备好解决这些问题，就像 L&D 的瑞士军刀一样。
这是一个简单的例子。我问Galileo™（该公司经过 25 年的研究和案例研究提供支持）：“我该如何应对总是迟到的员工？请给我一个叙述来帮助我？” 它没有带我去参加管理课程或给我看一堆视频，而是简单地回答了问题。这种类型的互动是企业学习的大部分内容。
让我总结一下人工智能在学习与发展中的四个主要用例：
生成内容：人工智能可以大大减少内容创建所涉及的时间和复杂性。例如，移动学习工具Arist拥有AI生成功能Sidekick，可以将综合的操作信息转化为一系列的教学活动。这个过程可能需要几周甚至几个月的时间，现在可以在几天甚至几小时内完成。
我们在Josh Bersin 学院使用 Arist ，我们的新移动课程现在几乎每月都会推出。Sana、Docebo Shape和以用户为中心的学习平台 360 Learning 等其他工具也同样令人兴奋。
个性化学习者体验：人工智能可以帮助根据个人需求定制学习路径，改进根据工作角色分配学习路径的传统模型。人工智能可以理解内容的细节，并使用该信息来个性化学习体验。这种方法比杂乱的学习体验平台（LXP）有效得多，因为LXP通常无法真正理解内容的细节。
Uplimit是一家致力于构建人工智能平台来帮助教授人工智能的初创公司，它正在使用其Cobot和其他工具为学习人工智能的技术专业人员提供个性化的指导和技巧。Cornerstone 的新 AI 结构按技能推荐课程，Sana 平台将 Galileo 等工具与学习连接起来，SuccessFactors 中的新 AI 功能还为用户提供了基于角色和活动的精选学习视图。
识别和发展技能：人工智能可以帮助识别内容中的技能并推断个人的技能。这有助于提供正确的培训并确定其有效性。虽然许多公司正在研究高级技能分类策略，但真正的价值在于可以通过人工智能识别和开发的细粒度、特定领域的技能。
人才情报领域的先驱者Eightfold、Gloat和SeekOut可以推断员工技能并立即推荐学习解决方案。实际上，我们正在使用这项技术来推出我们的人力资源职业导航器，该导航器将于明年初推出。
用知识工具取代培训：人工智能在学习与发展中最具颠覆性的用例也许是完全取代某些类型培训的潜力。人工智能可以创建提供信息和解决问题的智能代理或聊天机器人，从而可能消除对某些类型培训的需求。这种方法不仅效率更高，而且效果更好，因为它可以在个人需要时为他们提供所需的信息。
沃尔玛今天正在实施这一举措，我们的新平台 Galileo 正在帮助万事达卡和劳斯莱斯等公司在无需培训的情况下按需查找人力资源信息和政策信息。LinkedIn Learning 正在向 Gen AI 搜索开放其软技能内容，很快 Microsoft Copilot 将通过 Viva Learning 找到培训。
这里潜力巨大
在我作为分析师的这些年里，我从未见过一种技术具有如此大的潜力。人工智能将彻底改变 L&D 格局，重塑我们的工作方式，以便 L&D 专业人员可以花时间为企业提供咨询。
L&D 专业人员应该做什么？花一些时间来了解这项技术，或者参加Josh Bersin 学院的一些新的人工智能课程以了解更多信息。
随着我们继续推出像伽利略这样的工具，我知道你们每个人都会对未来的机会感到惊讶。L&D 的未来已经到来，而这一切都由人工智能驱动。
generative AI
2023年12月13日
generative AI
Anita Lettink Challenges HR Norms: Adapting to the Unpredictable Work Landscape of 2024ANITA LETTINK：Why I'm not writing 2024 HR trends
Anita Lettink, in her newsletter, discusses why she is not writing the 2024 HR trends. She emphasizes the importance of a dynamic, continuous strategy over annual predictions in HR. The article reflects on the evolving nature of work and the need for a fluid, adaptable approach. Lettink argues that understanding and navigating HR challenges require responsiveness to rapid changes in technology, economics, and workforce dynamics. She introduces the 2024 HR challenge, encouraging HR professionals to maximize the use of their HR solutions and focus on making incremental changes to better support their workforce.
推荐给大家；
Hey future of work friends,
I probably find you during budgeting and planning time. For me, it’s the end of conference season. I did my final keynote on the New Employee Experience at Indeed FutureWorks last week. And now I am back home, and will use December to read everything I bookmarked to surprise you with new keynotes and articles next year. I’ll also write my annual HR Tech Startup report.
And if you’d like an in-company webinar on what to expect from AI in HR or how to prepare for Equal Pay please reach out - I’ve got you covered!
Thinking about the Future of Work is important. And yes, you’d already assumed I would say that. I've spent years analyzing trends at the intersection of economics, business, technology, and human resources. Each year, I've distilled these insights into trend articles, aiming to forecast the year ahead. However, I've realized that our rapidly evolving world demands a different approach. In this newsletter, I'll share why I've moved away from annual trend predictions and why we need a more dynamic, continuous strategy in understanding and navigating HR challenges. I'll explore how embracing a fluid, responsive stance can better equip us to handle HR (tech) developments.
Why I am not writing 2024 HR trends
I've always been deeply invested in keeping a finger on the pulse of our industry. For years, it was a tradition of mine to sit down at the end of each year and write an article on emerging trends in Human Resources, based on my analysis of developments in economics, business, technology, and HR. I wrote them to reflect on the past year and help you - and me - prepare for the next.
I stopped this tradition. And if you wonder why, it's not for a lack of trends or changes in the industry—far from it. The HR landscape is as dynamic as ever, perhaps even more so. But I've realized that these annual trend articles, while insightful, may not be as beneficial as I once thought. Sure, they give a nice overview of what’s happening and what might happen, but you can’t run after every trend. And most years there were way too many of them.
The world of work is evolving at an unprecedented pace, and the tools and strategies that were groundbreaking a year ago might now be outdated. In this fast-paced environment, I believe that what we need isn't annual predictions but a continuous, adaptable approach to understanding and navigating HR challenges. When you want to provide a stable environment for employees and your company, thoughtful, strategic adjustments might be much more impactful.
So, instead of offering predictions, I'm taking a different path. I want to share with you the reasons behind this shift in my thinking and why I believe it's crucial for all of us in HR to adopt a more fluid, responsive stance towards industry trends.
Embracing a fluid approach
This change was sparked by several realizations. Firstly, the very nature of HR is fundamentally about people, and people are inherently unpredictable. People also like stability. And while trends can give us a broad outline, they can't capture the nuanced, often sudden shifts in employee needs, workplace dynamics, and organizational cultures. We all remember the start of the pandemic, when we put everything aside to make sure that employees could work safely, and where possible, from home. And while we might think this was a once-in-a-lifetime occurrence, we also know the world has become more unpredictable, and we should be ready to deal with similar sudden events.
And that means we should think more in terms of how we can offer a stable base that can handle these sudden shifts. That also means we should not be so quick in dividing work in “the past” and “the future”. While some people argue you should only look at the future of work, I believe we should take a much more nuanced approach.
As example, the picture above: it’s often used to show the past and the future of work. In my thinking, both sides represent the future. It’s not either/or, it’s and/and. And when I speak about the New Employee Experience, I use it to encourage HR professionals to cast a wide net: how can you offer all work options, so you appeal to a larger section of the workforce? It’s not about discarding the past and looking at the future. It’s embracing both where you can. Some people like the 9-5 day, working from an office. Some people find profit more important than purpose. It’s about offering a wide range of choices, to attract and retain people in a time when the labor market is tight. That’s especially important when you work in the Global North, and a next major shift is upon us: a shrinking workforce due to demographics in combination with the lack of skilled workers.
How useful are predictions anyway?
Secondly, I noticed a pattern over the years. Many of the trends I predicted would either rapidly evolve or be overtaken by entirely new developments before the year was out. Just look at Generative AI: at the end of last year, no one predicted that this would be the main topic of 2023. This rapid (r)evolution made me question the usefulness of annual predictions: why do we write them only at the end of the year? In a world where change is the only constant, static yearly forecasts seem almost counterintuitive. How can we even begin to predict what is coming, when recent events put everything we know upside down?
And lastly, I also started to wonder if focusing too heavily on future trends might pull us away from the present. When we always look ahead, we might miss crucial opportunities to address current issues effectively or fail to build on the strengths we already have. It can sometimes cause us to miss out on addressing the immediate needs and challenges facing our employees and organizations.
By constantly chasing what might be ahead or new, we risk not fully leveraging the strengths and successes we currently possess. It's vital to strike a balance between preparing for future changes and optimizing our current practices. This way, we can ensure that our efforts are not only geared towards what the 'future of work' might look like but are enhancing today’s HR strengths, thereby creating a more holistic and effective HR strategy.
2024 Challenge
And to illustrate the above with a practical example, let me ask you this: what percentage of your HR solution do you actually use? I am not asking for an exact number, just an estimated guess. When you look at its current functionality, do you use all of it? Half? Maybe even less?
When you close a contract for an HR cloud solution, the vendor will not only maintain the solution in its current state, but also improve it over time. And the fee you pay covers all those new features and functionalities. That means you get more bang for your buck. But if you don’t activate any of these features, then the vendor is wasting development capacity, and you are paying for something you will never see. Would you consider that good use?
And the problem isn't just the use; you will also miss out on the potential to support your workers better and change your workplace. Every unused feature in your HR solution is a lost chance to improve employee engagement, streamline processes, or uncover people insights.
So, here’s my 2024 HR challenge for you:
1. Guess: How much of your HR solution do you use today?
2. Pick one unused feature in your HR solution, explore it, and make it available!
Try to make a gradual change every month. Repeat that during the first six months of 2024 and then evaluate your success or learn from your mistakes! And don’t forget to tag me with the results! Instead of focusing on yet another 2024 HR trend, let’s make sure that we first use our HR solution to the fullest, one feature at a time. I think this will be more helpful to your organization than you might think.
Let’s continue the conversation
I don’t want to leave you with the impression that looking forward isn't important. On the contrary, it's crucial. If only for the reason that what we build today will affect our future workforce the most. But we should do it with the understanding that HR is less about predicting the future and more about creating it through proactive, ongoing engagement with our workforce, our company, and the world around us. To maybe not take giant leaps but make incremental changes that benefit the people we work with most. People are tired of constant change. However, we can draw inspiration from social media tools - by implementing small, gradual improvements, we can consistently enhance the experience, allowing people to smoothly adapt to these changes over time.
This shift is not just about how we talk about HR trends; it's about how we do HR. It's a move towards a more dynamic, responsive, and collaborative approach that recognizes the complexity and fluidity of our work. It's about creating a living dialogue that evolves with our ever-changing environment.
We must talk about the future. But it shouldn’t be confined to the end of the year. There is no reason for such a hard cut. I look forward to engaging with you, in continuous conversations about what we're seeing, doing, and expecting in real-time. This approach, I believe, will not only keep us more connected to the immediate needs of our organizations but also better prepared to adapt to whatever the future holds.
While I don’t write HR trend articles anymore, my commitment to helping you understand and make sense of the future of work is as strong as ever. I will keep you posted on the latest developments as I see them. I will continue to write this newsletter about my observations on how we can improve work with the help of technology, especially new tech.
Good luck with planning the year ahead. And let me know if you would have preferred a list of 2024 HR trends,
Have a great day, Anita
What’s next for compensation?
Pete Tiliakos, Anke Mogannam and I participated in an online #WDAYChats. We shared insights and POV’s on modern payroll operations and how payroll leaders can help their organizations minimize cost and accelerate innovation.
Decusoft asked me how companies can prepare for pay transparency and equal pay. You can find my answers here.
Indeed asked people if money really makes them happy. Find the surprising answers, an interview with yours tryly and more compensation charts in this insightful Dutch report: De toekomst van compensatie.
generative AI
2023年12月01日
generative AI
Don’t Be A Copy-Cat: People Analytics as the Antidote to HR Strategy Copy-CatsThis article is written to discuss: why copying the HR practices that everyone else uses doesn’t lead to the positive outcomes you assume it will.
DISCLAIMER: If you like the HR strategy at your organization, you can probably stop reading now… If not, feel free to keep reading.
Context
Childhood wisdom: No one likes a copy-cat.
We all remember being children once. Kids are known to tease each other from time to time. One common reason to be teased when you were a child was being called a “copy-cat”. It didn’t feel good, often because we knew that if we were labeled a copy-cat, it was likely true. We were copying someone else. It felt bereft, unoriginal, and commonplace. We knew we were capable of being more, but we had settled for less. We were better than that. HR strategy can be better than that too.
Fast forward to the present, in HR being a copy-cat is all the rage. A priestly caste of HR influencers, HR tech consultants, FAANG companies, and sometimes even academics determine what is considered ‘en vogue’ as an HR strategy. Then, early adopter HR departments fall in-line; followed by the early majority and late majority after a few HR monkeys get “shot into space” without injury. The laggards may never arrive because they are still trying to move away from using paper files stuffed in filing cabinets, but nonetheless, being a copy-cat all the sudden became cool. Why be original when you could be doing what everyone else is doing? Perhaps, this is why Forrester is forecasting an EX winter coming soon…
In the African savanna, large numbers of herd animals, such as wildebeest, zebra, and gazelles, travel in packs. Why do they do this? Because there is safety in numbers. A zebra with a single imperfection or mark is easily identified and pulled from the pack by predators. Is the same true for HR? Are we safer in a pack? Is there wisdom in being a copy-cat? Would anything different make us stand out and therefore be put in danger? I think not. I think the opposite is true, in fact.
If you do all the same things as your competitors, how can you expect to get different results?
Does this HR strategy sound familiar?
“We’re going to try to hire the best talent, but only pay at the 50th percentile.”
“We’re a performance-driven organization, but we’re going to do performance reviews once a year on a 5-point rating scale, and we’ve got to implement a pay-for-performance incentive structure.”
“Our HR operating model is to use HR Business Partners, Centers of Excellence, and Shared Services.”
“We’re going to copy what Google did 10 years ago, or what GE did in the 80s.”
“We’re going to make data-driven decisions. I know! Let’s create another HR dashboard.”
If your organization wants to be radically better, it’s going to have to try some things that are radically different. Did anyone see Coinbase’s recent blog on Talent Density? I’m not saying I agree with the changes to their HR strategy, but at least they are trying to differentiate their HR strategy to be something different. They are getting into the game, for better or worse.
Source
What To Do, What To Do?
HR strategy should be composed of elements that are as unique to your business as your business strategy is unique to your business. It’s really as simple as that.
HR Strategy is upstream of people analytics. A vanilla, copy-cat HR strategy is going to lead to vanilla, copy-cat people analytics. In my opinion, people analytics doesn’t spend enough of its resources trying to familiarize itself, influence, and control HR strategy. People analytics should speak in the social currency of the organization. We should embed ourselves and influence key decision making, and have a seat at the table by speaking in the language of the business. There is social capital to be had, and the more I learn, the more I realize the necessity of this alternative currency. We should drive strategy.
With generative AI disrupting the value that human capital brings to organizations, who are the organizations that are going to be the innovators of tomorrow? Who are the organizations who will get the message early? Who will treat the need for differentiation with the existential demand that it dictates? Who will survive?
Source
“Best Practices”
I’m tired of the term ‘best practices’. I’m at a point in my career where I bristle when I hear someone say it. Perhaps it's one of the reasons why some people hate HR.
Organizational research is important, but best practices are a road to mediocrity. No one ever got fired for going with IBM, and no one ever got fired for using best practices… Until the whole firm loses to its competition, and everyone gets fired. Read it again, and think about that. It’s a short-term vs long-term thinking dilemma. Obviously, balance the two, but make sure to think with the long-term in mind.
What if instead of copy-catting, you:
A/B tested your HR strategy against those of other firms
Used opposition research to understand your competitors HR strategy better, so you can do something different
Implemented evidence-based practices on commoditized work, but experimented with firm-specific practices in the most strategically-relevant work
Focused on first-principles thinking as to how firm value is derived by its talent
Choose function over fad, when it comes to HR strategy
Rebuild HR strategy like the Oaklands As (and the Houston Astros) tore down and rebuilt their teams based on talent derived from data. Embed data, measurement, accountability, and the “improvement feedback loop” into every single workstream that HR engages. Henry Ford once said “if you always do what you’ve always done, you always get what you’ve always got.” HR could be convicted of being mediocre. Average is over (or maybe even above average is over?). Differentiation is king. Strategic neglect (i.e., neglecting things that don’t add value) is also a valuable tool. Where do we need to be world class? Where can we be average? Answer those questions, then execute.
Source
Rebuilding HR Around Data & Measurement
In most HR functions, data is only used to validate, not to guide. No one thinks for themselves. Mimicry and mimesis abound.
People analytics is a competitive advantage for firms who use it properly. People analytics is the future of HR. Proclamations such as this have been made consistently in the past (e.g., HR is over, remote work is the future, there is no need for management, human tasks at work will be automated with AI, etc.), but this one is for real. Firms who are not embedding data into the way they do business, evaluating what they do with data, and projecting the future with data are going to be irrelevant.
In the future, even in the age of generative AI, there is only one currency, and that is truth. Truth can only be derived as data put into practice. Classical test theory states that all measurement is “truth-plus-error”, with error being any deviation between measurement and the truth. Some stakeholders believe that to mean that truth can never be attained because error will always exist. Practically, this is a misinterpretation. Organizations that can manifest the best data with the least error will be the closest to truth, and therein lies the root of competitive advantage via data. People analytics is not inherently useful. Data is not inherently useful. Only accurate data, with analysis and cogent results, derived into a form that facilitates timely and accurate decision making, and that is put into action, is useful. And across the aggregate of thousands, if not millions of small decisions made leads one organization to prevailing over another. May the odds ever be in your favor.
Source
Moving Forward
“Traditional HR” has been on the way out for decades. This article is for HR people who believe in challenging the status quo. Deep down they know there is a better way; a way forward for their organization. To not outsource their originality to others. To not be a copy-cat. Let’s focus on what the pathway forward looks like with a new highest principle – no longer “what is everyone else doing?” – but with data and measurement at the center. This article is for the HR professional who knows that HR can be smarter, faster, and better at their organization, and they are bound to make it happen. Join the movement. Don’t be a copy-cat. Let’s see how high we can fly together.
PS - I’m thinking of writing a book on this topic. If you’re a publisher and you are interested in this topic, or others I’ve written about before, please contact me directly.
Special shout out: Thanks to Brad Harris & Pat Downes for our previous conversations on this topic.
I hope you like this article. If so, I have a few more articles coming out soon. Stay tuned. If you are interested in learning more directly from me, please connect with me on LinkedIn.
Cole’s recent articles
What’s Old is New: The Quest for Excellence in Workforce Planning
A Historian, Demographer, & Data Scientist Walk Into a Bar…
The Phoenix & The Dragon
Why Buy When You Could Rent: SEC’s Push for Human Capital Disclosure
Elephant Hunting: Weighing Human vs. Algorithmic Input to Decision Making
For access to all of Cole’s previous articles, go here.
By: Cole Napper
原文来自：https://directionallycorrectnews.substack.com/p/dont-be-a-copy-cat-people-analytics
generative AI
2023年11月30日
generative AI
微软首席人力官Kathleen Hogan：员工如何充分利用人工智能
Kathleen Hogan Chief People Officer at Microsoft [Photo: courtesy of Microsoft]
微软首席人力官 Kathleen Hogan表示，人工智能对我们工作方式的影响将比个人电脑更大。
AI是我们时代的决定性技术，创造了一个巨大的范式转变，它将改变我们的工作方式，影响力甚至超过了个人电脑的引入。我们曾经有一个大胆的愿景，“每个办公桌上、每个家庭里都有一台电脑”，而今天，我们希望在“每个人的口袋里都放一个副驾驶”。
当然，AI的影响也伴随着挑战。我们必须解决关于工作流失、算法偏见以及组织快速培养技能的真实担忧。但最终，我相信AI的潜力太大，不能采取观望态度。
领导者需要创造正确的环境，让AI获得积极的势头。这将需要准备和有意识的方法，以便这些新的AI工具不仅帮助员工提高生产力，而且帮助他们茁壮成长。我建议关注这三个方面，以更快实现这些好处：培养基于敏捷的文化、重新想象我们的工作方式、投资于更深层次的人类技能。
培养基于敏捷的文化
为了充分利用AI的承诺，团队必须保持敏捷。
即使是那些多年来一直在内部使用AI进行数据分析、预测建模和任务自动化的公司，生成性AI也代表着一个重大转变。通过能够理解人类语言、导航大量文档知识并创造内容，更多职能的员工现在可以使用这些AI工具。
一个基于敏捷的文化还将加速组织建立推动AI价值的更广泛基础和最佳实践的能力。我相信，在AI时代培养这样的文化意味着拥抱适应性领导力，领导者必须愿意深入未知。
重新想象工作方式
20世纪80年代和90年代的机器人自动化进步使制造业生产力翻了一番。这不是仅仅通过给工人提供更高效的工具实现的——公司通过重新思考生产技术和重新设计工作流程，优化人与机器之间的流程，实现了机器人自动化的全部价值。
同样，要充分利用AI采用的价值，领导者需要重新想象工作是如何完成的。这始于将工作分解为更小的任务，以确定AI能做什么，以及或者比人类做得更好。除了自动化一些重复或乏味的工作任务，我们还需要确定AI可以如何协助员工处理更复杂和微妙的任务，如研究、写作和分析。
这个想法是让领导者利用这段时间，不仅是自动化流程，而且是与AI一起重新想象流程，寻找新的工作方式。这将最终帮助人们更聪明地工作，而不是更努力地工作，给他们带来更多的精力，并发现更有意义和更令人满意的工作。
关注人类技能
生成性AI已经被训练了大多数人类语言，所以任何人都可以使用它。但就像任何新技术一样，仅仅给人们新工具而不提供使用它们的技能是不够的。
而且，尽管这似乎与直觉相反，人类技能与技术技能一样重要，以有效使用AI。这包括分析判断力、灵活性、情商、创意评估、智力好奇心、偏见检测和处理能力，以及委派任务的能力。
事实上，我们现在发现，基本的管理技能是发掘AI副驾驶的全部潜力的关键。就像委派给人类员工一样，与副驾驶合作需要能够清晰地沟通，设置背景和参数，定义期望，分析结果，并提供反馈。
一个好的起点是根据学科开发AI技能培训和实践。随着我们从自动驾驶AI转向副驾驶AI，对人们来说，仍然扮演飞行员的角色，用批判性的视角评估他们从AI工具中获得的输出是必要的。这包括验证准确性和评估偏见。最终，飞机的船长有责任成功着陆。
我相信，解锁AI的全部潜力是领导者的责任。AI的创新正在以惊人的速度发生。当我们导航AI对工作场所的影响时，组织领导者必须立即开始培育正确的环境，以确保没有人被遗留在后面。仅仅将AI工具放在员工手中是不够的。当我们培养基于敏捷的文化、重新想象我们的工作方式，以及建立获得AI最佳效果所需的人类技能时，我们可以帮助我们的组织和员工在这个新时代中茁壮成长。
对我来说，能够成为这个令人难以置信的时刻的一部分，既令人兴奋又令人振奋。
英文原文来自：https://www.fastcompany.com/90982077/microsofts-chief-people-officer-heres-how-workers-can-get-the-most-out-of-ai
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