Josh Bersin 专栏 - 北美华人人力资源协会 - nacshr.org

Josh Bersin

Josh Bersin

In 2001, Josh Bersin founded Bersin & Associates, which became the leading research and advisory company for corporate learning, talent management, and HR. In 2012, Josh sold the company to Deloitte, when it became known as Bersin by Deloitte. As a Deloitte partner, Bersin was involved in many HR and learning engagements and was a principal author of Deloitte’s annual Human Capital Trends Report. He retired from Deloitte in 2018.

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Josh Bersin

The best HR & People Analytics articles of 2023 (Part 2 of 2) Last week, I published Part 1 of the 10th annual compilation of my 60 best resources on people analytics and HR of 2022. Thanks to all of those who shared, commented on and reposted Part 1. It is much appreciated. Part 2, herein, covers resources on the following five topics: 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. To recap, Part 1 covered five topics: 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. You can also catch up with previous editions for the last decade: 2014, 2015, 2016 2017, 2018, 2019, 2020, 2021 and 2022 (Part 1 and Part 2). I hope you enjoy reading the selections for 2023. If you do, please subscribe to my weekly Digital HR Leaders newsletter, which is published every Tuesday via Insight222, and tune in to the Digital HR Leaders podcast, which returns on January 16 with a special episode featuring Dawn Klinghoffer, Thomas Hedegaard Rasmussen, and Jeremy Shapiro on the outlook for people analytics in 2024. vi) THE EVOLUTION OF HR, HR OPERATING MODELS AND THE CHRO ROLE DAVE ULRICH, JOE GROCHOWSKI, NORM SMALLWOOD, JOE HANSON, AND ERNESTO USCHER - What Makes an Effective HR Function? An HR Value Logic A glut of research was published in 2023 on the evolution of the HR operating model from the likes of McKinsey, Deloitte and Mercer. Most lean on the pioneering work of Dave Ulrich and his colleagues back in 1995, in what is now commonly referred to as the ‘Ulrich model’. As such, this immensely insightful article by Dave and his colleagues at RBL: Joe Grochowski, Norm Smallwood, Joseph Hanson, and Ernesto Uscher is a must-read for anyone reviewing their HR operating model. The article defines the value HR provides to stakeholders, analyses some of the recent research on HR operating models, couples this with The RBL Group’s own research, and provides guidance on steps to a more effective HR function (see FIG 24) and a diagnostic of ten dimensions of HR effectiveness (see FIG 25) to improve the value HR can create. A tour de force. HR is not about HR but about the value HR creates for stakeholders FIG 24: Steps To An Effective HR Function? (Source: The RBL Group) FIG 25: Assessment of Ten Dimensions of HR Effectiveness (Source: The RBL Group) SANDRA DURTH, NEEL GANDHI, ASMUS KOMM, AND FLORIAN POLLNER – HR’S new operating model: A new approach to human resources Excellent analysis from McKinsey based on qualitative interviews with over 100 chief human resources officers on how the HR operating model is changing to drive value in today’s volatile business environment. In the article the team of Sandra Durth, Neel Gandhi, Asmus Komm, and Florian Pollner identify and describe five HR operating model archetypes (see FIG 26). The authors explain how these operating models are premised on eight innovation shifts, with each archetype typically based on one major innovation shift and supported by a few minor ones. In large, diversified organizations, CHROs may find that different archetypes fit the differentiated needs of specific businesses better and may adopt a combination of HR operating models. FIG 26: Five emerging HR operating models (Source: McKinsey) MARC EFFRON | TALENT STRATEGY GROUP – HR Operating Model Report 2023 There is a wealth of insights from Marc Effron and his team at The Talent Strategy Group in their report on how more than 200 companies are structuring and operationalising HR. Insights include: (1) 86% of CHROs report to the CEO, which certainly helps answer the perennial ‘seat at the table’ question, (2) HR is growing across all parts of the function - for example, the support ratio for HRBPs to employees has decreased, (3) From a people analytics perspective, the study finds that 35% of people analytics leaders report to the CHRO, which mirrors the rise we have seen in our Insight222 People Analytics Trends researchyear on year since 2020, and (4) However, as the report states: The fact that People Analytics reports more frequently to Shared Services and Other HR Functions than to the CHRO or Talent Management suggests a potential misunderstanding of the strategic role of the function. It may also, however, suggest that the COE is providing more reporting and less true analytics in many organizations. FIG 27: CoE reporting lines to the CHRO (Source: Talent Strategy Group, HR Operating Model Report 2023) KATHI ENDERES - Building the Dynamic Organization: Critical for the Post-Industrial Era Kathi Enderes breaks down findings from research she and Josh Bersin have conducted with Gloat. It highlights that instead of designing a company around jobs, Dynamic Organizations instead organise around people and skills. Kathi’s article provides a framework (see FIG 28), a maturity model, and data on the impact of Dynamic Organizations. I recommend reading this alongside the subsequent research published by Josh and Kathi on Systemic HR, which Josh summarises in this podcast. FIG 28: A framework for a Dynamic Organization (Source: Josh Bersin Company) ELLYN SHOOK, YUSUF TAYOB, AND LAURIE HENNEBORN - The CHRO as a growth executive Article | Full Report Research by Accenture finds that by unlocking the growth combination of data, technology and people, companies can generate a premium of up to 11% on top-line productivity, with the people element making up 7% of that alone. However, the study also finds that just 5% of large, global organisations are realising this. The spearhead of the companies that are is a new breed of CHRO – the ‘high-res CHRO’ - one that is stepping up to lead their C-suite peers in connecting data, technology and people and cultivating collaboration. The report details how to spot and support High-Res CHROs, how they effect change, and provides guidance on the way forward. The report is co-authored by Ellyn Shook, Yusuf Tayob, and Laurie Henneborn, MSLIS, and features contributions from a number of CHROs including Giuseppe Addezio, Christine Deputy , Kerry Dryburgh, Lauren Rusckowski Duprey, Darrell Ford, Francine Katsoudas, and Donna Morris. FIG 29: Three things High-Res CHROs do differently to put the forces of change to work (Source: Accenture) JONATHAN GORDIN, SHARI CHERNACK, KAREN SHELLENBACK, AND YAMILE BRUZZA | MERCER - Evolving the CHRO role in a rapidly changing world of work 41 percent of CHROs wish they had had a greater depth of knowledge in people analytics before stepping into their roles. That is a standout finding from Mercer’s 2023 CHRO report. Many CHROs also conceded that they wish they had assumed the role with a greater understanding of business and strategy. The report, by Jonathan Gordin, Shari Chernack, Karen Shellenback, and Yamile Bruzza, also digs into the growing importance of technology and analytics including the need for CHROs and their leadership teams to upskill themselves and act as role-models in areas such as data literacy, how the CHRO role will evolve (see also FIG 30), actions to develop HR leaders, and key attributes of CHROs. The ability to understand the business you are in is critical to success as a CHRO — the people strategy must be an extension of the business strategy FIG 30: How the CHRO role will evolve (Source: Mercer) ROB BRINER - Aligning HR with the business through the evidence-based HR process Rob Briner makes the case for evidence-based practice and how it applies to HR, explaining what it is and why it is effective. Rob breaks down six key steps in the evidence-based HR process (see FIG 31). He then applies the evidence-based approach to a case study to understand and solve high employee turnover. FIG 31: The Evidence-Based HR Process (Source: Rob Briner) vii) BUILDING A DATA-DRIVEN CULTURE IN HR NAOMI VERGHESE AND JONATHAN FERRAR - Upskilling the HR Profession: Building Data Literacy at Scale Article | Full Report In conversations I have with chief human resources officers, people analytics leaders and other senior human resources executives, improving the data literacy of HR professionals continues to be a challenge. A study by my Insight222 colleagues Naomi Verghese and Jonathan Ferrar, highlights four key findings to support organisations seeking to build data literacy in HR at scale: (1) Role-modelling by the CHRO and HRLT is essential (see FIG 32), (2) responsibility for upskilling should sit with the people analytics leader, (3) Five skills form the core of data literacy for HR, and (4) Companies should invest appropriately for a multi-year upskilling programme of between $600 and $800 per HR full-time equivalent. Download the full report here. FIG 32: Source: Upskilling the HR Profession: Building Data Literacy at Scale (Source: Insight222) MADHURA CHAKRABARTI AND TAMARA MCBRIDE - The analytics escape room game: On being fast followers As Madhura Chakrabarti, PhD and Tamara McBride state: “Upskilling HR in data fluency was always an important part of our People Insights and Analytics roadmap at Syngenta.” Their article outlines the journey Syngenta has taken over the last three years, which has seen over 200 participants complete their ‘analysis paralysis’ simulation. Madhura and Tamara share their three key lessons in relation to building a data driven culture in HR: (1) Go beyond HR (“our non-HR colleagues did a wonderful job in spreading the word internally whereby demand started accelerating within and outside HR”), (2) Make it part of a bigger journey (see FIG 33), and (3) Shift to a virtual experience but keep the in-person offering alive when needed. For more from Madhura on how Syngenta is building a data driven culture in HR, I recommend listening to her discussion with me on the Digital HR Leaders podcast: How Syngenta Successfully Upskilled Their HR Function Into Data-Literacy. FIG 33: Building data fluency in HR at Syngenta (Source: Madhura Chakrabarti and Tamara McBride) JAAP VELDKAMP AND HELEEN GOET - How to determine your success KPIs in HR Jaap Veldkamp and Heleen Goet describe the process followed at ABN Amro for establishing a 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 align each service to output and outcomes (see example in FIG 34). The article also highlights 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 34: Source: Jaap Veldkamp and Heleen Goet RJ MILNOR - 10 Metrics to Unlock Value in Your Organization | ERIC LESSER AND CHARIS CHAMBERS - Key HR metrics for chief human resources officers Two insightful articles highlighting progressive HR metrics. (1) RJ Milnor presents ten people metrics focused on help companies and HR leaders to unlock value (rather than cut costs). (2) Eric Lesser and Charis Chambers highlight five critical areas where CHROs need access to key HR metrics, data, and insights on demand to provide a snapshot of the current state of the work, workforce, and workplace (see FIG 35). FIG 35: Five key areas of insights and metrics for CHROs (Source: Deloitte) BRENT DYKES - Elephant In The Room: Data Storytelling Is More Than Just Data Visualization Brent Dykes uses the Buddhist parable of the Elephant and the Blind Men to highlight the overemphasis typically placed on the visualisation element of data storytelling at the expense of the two other key components: facts (from data) and a storyline (narrative) – see FIG 36. Brent’s article breaks down each of these three elements, their relationship to each other, and provides guidance on how to shift from a ‘visualization-centric view’ to a ‘balanced view’. A must-read for anyone in the people analytics field, as well as HR professionals looking to hone their data storytelling skills. FIG 36: What is data storytelling (Top), How to shift data storytelling from a visualization-centric to a balanced view (Bottom) (Source: Brent Dykes) viii) WORKFORCE PLANNING, SKILLS, AND TALENT MARKETPLACE WORLD ECONOMIC FORUM - The Future of Jobs Report 2023 The fourth edition of the World Economic Forum’s Future of Jobs Report is an absolute treasure trove of data, insights, and visualisations based on data from 803 companies and 11.3m workers. The report explores how jobs and skills will evolve over the next five years, and how the Fourth Industrial Revolution will continue to shape the world of work. There are too many highlights to list them all here are some standout ones for me: (1) 23% of jobs are expected to change by 2027, with 69 million new jobs created and 83 million eliminated (see FIG 37), (2) 44% of individual worker skills will need to be updated by 2027, (3) The three key drivers of job change are the green transition (driving growth), technology (driving growth and decline), and the economic outlook (driving decline), and (4) Analytical thinking and creative thinking are regarded as the top two in-demand skills of 2023. Kudos to the authors of the report: Attilio Di Battista, Sam Grayling, Elselot Hasselaar, Till Alexander Leopold, Ricky LI, Mark Rayner and Saadia Zahidi. FIG 37: 23% of today’s jobs will change by 2027 (Source: World Economic Forum) AMY WEBB - How to Prepare for a GenAI Future You Can’t Predict Futurist Amy Webb outlines a framework to help leaders anticipate how — and when — their workforce will need to change in order to leverage AI (see FIG 38). The framework should help those involved in workforce planning partner with leaders to develop scenarios for the future of the business. Moreover, Amy also provides a three-step guide for leaders to navigate the current uncertainty: (1) Temper expectations about what generative AI can and will do for your business. (2) Evaluate what data your company is generating and how it would today, and in the future, be used by generative AI. (3) When it comes to AI, leaders must shift their focus from the bottom line to top line. FIG 38: The IDEA Framework (Source: Amy Webb) DELOITTE - Managing workforce risk in an era of unpredictability and disruption A hugely insightful collaboration between Deloitte and Harvard Professor Joe Fuller, which breaks down the increasing number of risks facing organisations in our disruptive world, the impact these have on the workforce, and what some leading companies are doing to help mitigate these risks. The article presents a framework for workforce risk (see FIG 39) as well as findings from a survey of 875 C-suite leaders, executives, and independent board members to explore how senior leaders view and address workforce risk. Findings include that most companies don’t have a definition nor expertise on workforce risk, those companies that do address workforce risk focus on short-term objectives rather than strategically planning for tomorrow’s challenges, and boards and C-suites provide limited oversight over workforce risk. The research does identify Pioneers – around one in ten leaders that view workforce risk factors more holistically and spread responsibility for effectively measuring and managing these risks throughout the organisation. (Authors: Joseph Fuller, Michael Griffiths, Reem J., Michael Stephan, Carey Oven, Keri Calagna, Robin Jones, Susan Cantrell, Zac Shaw, and George Fackler). To perform at their best and meet evolving business needs, organizations should have a workforce planning process that helps establish the right people in the right place at the right time, for the right cost. To accomplish that, they should plan for succession, cultivate new talent pipelines, and deploy workers against emerging business priorities fluidly. FIG 39: A framework for workforce risk (Source: Deloitte) ROBERT MOTION AND COLE NAPPER - What’s Old is New: The Quest for Excellence in Workforce Planning As Robert Motion and Cole Napper highlight in their treatise on the topic, workforce planning is both an art and a science that has its root in data and strategy. Their article offers six lessons on the topic: (1). Strategy is hard, but that doesn’t make WFP impossible. (2) Workforce planning can both help fight and respond to the Wall Street earnings cycle pressure. (3) Process is necessary, but don’t overdo it. (4) Analytics is and will continue to be king. (5) Winning the war for talent requires Talent Intelligence. (6) We can’t fall in love with our own ideas. As WFP practitioners, influencing with data is THE key to gaining credibility with the business. It shows that WFP is not “touchy-freely HR”, but data-driven and quantified. 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 40). FIG 40: Source - Richard Rosenow, One Model MERCER – Building and sustaining a thriving Talent Marketplace The Talent Marketplace is one of the hottest topics in the field of talent management, which makes this report by Mercer as timely as it is important. The report is informed by a survey, interviews with early adopters, and best practices for realising the vast potential of a talent marketplace. The report covers: (1) The business case, (2) How companies can use and launch talent marketplaces, (3) Outcomes and ROI realised by early adopters including Unilever, (4) Guidance on the change management required to achieve stakeholder alignment, and (5) Tips to get started and sustain momentum. Kudos to the authors: Ravin Jesuthasan, CFA, FRSA, Rupali Gupta, Chitralekha Singh, Brian Fisher, Marcus Downing, Paul Habgood, Nicole Peichl, Lewis Garrad, and Wan Yee Choo. For more on talent marketplace, I recommend listening to two 2023 episodes of the Digital HR Leaders podcast with Tanuj Kapilashrami (How Standard Chartered is Unlocking the Power of Skills in the Workplace) as well as Jeff Schwartz and Jeroen Wels (Navigating the Talent Marketplace of the Future). Implementing a talent marketplace requires a radical rethink of work itself and involves far more than implementing a new technology. FIG 41: Finding the sweet spot for success with talent marketplaces BO COWGILL, JONATHAN M.V. DAVIS, B. PABLO MONTAGNES, PATRYK PERKOWSKI, AND BETTINA HAMMER - How to Design an Internal Talent Marketplace Between them Bo Cowgill, Jonathan Davis, Pablo Montagnes, Patryk Perkowski, and Bettina Hammer have designed, implemented, and evaluated internal talent marketplaces (ITMs) for more than a decade in the private, non-profit, and public sectors, with partners across the globe. In their article for Harvard Business Review, they break down the four key benefits of ITMs: (1) Reduced replacement costs with examples from Teach for America and Schneider Electric, (2) Better placement within a large workforce with an example from the US Department of Defense, (3) More opportunities for generalists, and (4) Better aggregation of insights – with both the latter two documenting examples from Google. The authors explain how to build (e.g. technology, change, culture and data) and optimise (e.g. nudges, incentives and executive oversight) ITMs, connect their successful adoption to best practices and recommend ways to align employees’ preferences with the company’s needs. Companies that fare the best with internal talent marketplaces are in industries with high worker-replacement costs and have employees who tend to be generalists. ix) LEADERSHIP AND CULTURE GEORGE WESTERMAN AND ABBIE LUNDBERG - Why Companies Should Help Every Employee Chart a Career Path Multiple studies find that lack of career advancement is the top reason employees provide for leaving their employers. Perhaps not surprisingly George Westerman and Abbie Lundberg found in their previous research a gap between the career development support many companies claim to provide and the lived experience of the typical worker. In their new article, the authors highlight two false narratives of career development that they find are prominent in many companies: “managers are responsible to develop their employees’ careers” and “we empower employees to own their career development.” While these ideals sound good, the reality is somewhat different. The authors then outline a career development process comprised of three elements designed to work for employees at all levels of the organisation and bring these to life with a number of case studies. The three elements are: (1) Make opportunities and pathways visible, (2) Provide opportunities to learn and practice, and (3) Deliver rich feedback and coaching. Leaders must do much more to help employees see a future with the company and a path to advance toward that future. McKINSEY - Performance through people: Transforming human capital into competitive advantage When organisations invest in employees, the returns are not always quantifiable. Yet some firms are much more effective than others at turning human capital into a tangible competitive advantage, according to research by McKinsey. The study finds that the best companies – ‘People + Performance (P&P) Winners’ – are good at developing their workforce and delivering outstanding financial performance. The report details how P+P Winners possess a distinctive organisational signature (see FIG 42): they are more resilient, better at attracting, developing and retaining talent, have more effective leadership and more inclusive cultures. The report has a litany of insights across its 40 pages, including a blueprint on how companies can transform their organisational capital. (Authors: Anu Madgavkar, Bill Schaninger, Dana Maor, Olivia White, Sven Smit, Hamid H. Samandari, Jonathan Woetzel, Davis Carlin, and Kanmani Chockalingam.) P+P Winners deliver a better workplace experience, and they are engines of upward mobility for the employees who pass through them FIG 42: P&P Winners possess a distinctive organisational signature (Source: McKinsey Global Institute) CONSTANCE NOONAN HADLEY, MARK MORTENSEN, AND AMY EDMONDSON - Make It Safe for Employees to Speak Up — Especially in Risky Times In their article for Harvard Business Review, Connie Noonan Hadley, Mark Mortensen, and Amy Edmondson emphasise the importance of fostering a culture of psychological safety within organisations. They argue that during challenging and uncertain times, such as crises or periods of change, employees need an environment where they feel comfortable expressing their concerns, ideas, and dissenting opinions. The article provides practical steps for leaders to create psychological safety, such as encouraging open dialogue, actively listening, and addressing biases that may inhibit honest communication. Constance, Mark and Amy highlight the benefits of fostering a culture where employees feel safe to speak up, including improved decision-making, innovation, and employee well-being. Psychological safety — the belief that one can speak up without risk of punishment or humiliation — is what enables employees to use their voices, and it’s more important than ever that leaders build it. FIG 43: Why employees are reluctant to use their voices (Source: Constance Noonan Hadley, Mark Mortensen, and Amy Edmondson) PER HUGANDER - Take a Skills-Based Approach to Culture Change A persuasive article on how taking a skills-based approach to culture change can lead to lasting positive changes in behaviour and organisational performance. Drawing from a Harvard case study of SEB, a Nordic bank, Hugander Per highlights the successful application of the late, great Edgar Schein's Organizational Culture Model (see FIG 44). By emphasising the development of specific skills like active listening, coaching, and empathetic communication among its leaders, SEB achieved a cultural transformation characterised by collaboration and openness. This approach aligns culture change efforts with tangible behaviours, ensuring more effective and enduring transformations within organisations. FIG 44: Edgar Schein’s Organizational Culture Model (Source: MIT Sloan Management Review) TRACY THURKOW AND ADÉLAÏDE HUBERT - Organizations Don't Change Behavior, People Do Tracy Thurkow and Adélaïde Hubert-Verley write about the role behavioural science can play in any successful transformation or change management initiative: “Behavioral science can help you create a change-embracing environment through nudges, feedback loops, and reinforcement.” Their article provides a timely reminder that organisations cannot change behaviour; only people can. To achieve successful behaviour change they argue, individuals need to be motivated and equipped with the necessary skills and resources. Organisations should focus on creating a culture that supports and encourages the desired behaviour change, providing clear guidance and incentives for individuals, and enabling them to practice and refine their new behaviours over time (see FIG 45). Behavioral science helps to inspire and engage people in embracing change FIG 45: Making the behaviour possible requires removing frictions and implementing enablers, signals, and reinforcers (Source: Bain & Company) JONATHAN KNOWLES, B. TOM HUNSAKER, AND MELANIE HUGHES – The Role of Culture in Enabling Change While culture is often described as “how we do things around here”, Jonathan Knowles, Dr. Tom Hunsaker, and Melanie Hughes posit in their article that “It’s more helpful to think of culture as the nervous system of an organization.” They highlight that one of the most important responsibilities of HR is to analyse the aspects of culture that are enabling or hindering performance. They proceed to explain that the first step is to investigate the type of change the team, business unit or organisation requires, and then document three approaches to making such changes: (1) Reinforce magnitude. (2) Reimagine activity. (3) Rethink direction (see also FIG 46) FIG 46: Effective Cultures are Context Adaptive (Source: Knowles et al) TOMAS CHAMORRO-PREMUZIC - How to Strengthen Your Curiosity Muscle The opening keynote at the recent Workday Rising EMEA event in Barcelona by Dr Tomas Chamorro-Premuzic was based on his recently published book, I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique, which I highly recommend. Tomas is a prolific writer, and in one of his recent articles, for Harvard Business Review, he writes about one of the most critical and sought after dimensions of talent: curiosity – a skill that is vital for leadership effectiveness, learning, and career development. In the article, Tomas shares five recommendations to develop our curiosity muscle: (1) Ditch all excuses. (2) Find the right angle. (3) Change your routine. (4) Experiment. (5) When bored, just switch. For more from Tomas, please tune in to his recent conversation with me on the Digital HR Leaders podcast: How AI Can Unlock Human Potential and Make Work More Meaningful. While we may not know what tomorrow’s jobs will be, employees’ motivation and ability to upskill and reskill for those jobs will significantly increase if they are curious. STACIA GARR AND PRIYANKA MEHROTRA - What’s Holding Back Manager Effectiveness, and How to Fix It While manager effectiveness is a top priority for leaders and HR teams, research by Stacia Sherman Garr and Priyanka Mehrotra for RedThread Research finds that organisational support for managers is on the wane. Based on analysis of a survey of more than 700 employees across a wide range of industries, Stacia and Priyanka identified seven practices that are most important in driving manager effectiveness (see FIG 47) – four practices under the control of managers themselves, and three under the auspices of senior leaders and HR. The article also details three key actions organisations — particularly senior leaders and HR teams — can take to address gaps in support and develop more effective managers. FIG 47: Seven factors driving manager effectiveness (Source: RedThread Research) EMILY FIELD, BRYAN HANCOCK, AND BILL SCHANINGER - Don’t Eliminate Your Middle Managers | EMILY FIELD, BRYAN HANCOCK, STEPHANIE SMALLETS, AND BROOKE WEDDLE - Investing in middle managers pays off—literally Two articles featuring insights from one of the best books of 2023: Power to the Middle: Why Managers Hold the Keys to the Future of Work authored by Bill Schaninger, Ph.D., Bryan Hancock. The first provides a clarion call to organisations that rather than viewing middle management as ripe for cutting in turbulent times they should instead reimagine the role of the middle manager, helping them to fully understand their value, and then train, coach, and inspire them to realise their potential as organisational linchpins. The second article, co-authored with Stephanie Smallets, Ph.D. and Brooke Weddle, provides data highlighting that organisations with more top-performing middle managers have much better financial outcomes (see FIG 48). The article also provides five steps to strengthening middle manager performance: (1) Optimising organisational ‘spans’, (2) Resetting manager roles, (3) Pivoting to capability building, (4) Drilling down into manager experience, and (5) Building in accountability mechanisms. Human capital is at least as important as financial capital, and middle managers, who recruit and develop an organization’s employees, are the most important asset of all—essential to navigating rapid, complex change. They can make work more meaningful, interesting, and productive, and they’re crucial for true organizational transformation. FIG 48: Organisations whose managers exhibit strong behaviours realise better bottom-line performance (Source: McKinsey) x) 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 49). 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. (Authors: Dame Vivian Hunt, Sundiatu Dixon-Fyle, Celia Huber, Maria del Mar Martinez, Sara Prince, and Ashley Thomas.) FIG 49: The business case for diversity on executive teams and financial outperformance (Source: McKinsey) DONALD SULL AND CHARLES SULL - The Toxic Culture Gap Shows Companies Are Failing Women Donald Sull and Charlie Sull continue their fascinating work on toxic culture (see previous articles here) by this time focusing on research that finds women are 41% more likely to experience toxic workplace culture than men (see FIG 50). The article provides a number of cuts, powerful visualisations and analysis of the data including possible reasons why women are more likely to cite toxic culture, the elements that drive the toxic culture gender gap, and how the gap varies by industry and occupation. FIG 50: Toxic Culture Is the Largest Culture Gap Between Women and Men (Source: Culture X) JAMES ROOT, ANDREW SCHWEDEL, MIKE HASLETT, AND NICOLE BITLER - Better with Age: The Rising Importance of Older Workers Compelling research from Bain & Company highlighting that in the G7 group of countries, older workers will exceed a quarter of the workforce by 2031 (see FIG 20). Despite this shift, the study also finds that only a small number of organisations have programs in place to integrate older workers into their talent systems. As well as providing compelling data and visualisations on this trend, the authors (James Root, Andrew Schwedel, Mike Haslett, and Nicole Bitler Kuehnle) provide guidance on three steps to empower older workers: (1) Retain and recruit older workers by understanding what motivates them at work. (2) Reskill them for your next 10 years of capability needs. (3) Respect their strengths and allow them to do what they do best. Creating roles that benefit both older workers and the company is not just the right thing to do, it’s also a business imperative. FIG 51: Share of workers age 55 and older in 2011, 2021 and 2031 (Source: Bain & Company) LILY ZHENG - To Make Lasting Progress on DEI, Measure Outcomes Organisations that are generating value through diversity, equity and inclusion (DEI) understand the importance of metrics and KPIs, but even some of these struggle to identify the right ones. The objective of Lily Zheng’s article in Harvard Business Review is to provide guidance to companies seeking to make tangible and lasting progress on DEI goals. Three actions are recommended related to tracking metrics. (1) Recognise the importance of outcome metrics beyond demographics. (2) For each category that you choose to measure, develop a theory of change to identify tailored proxy metrics. (3) To ensure that these findings result in lasting outcomes, create a plan in advance for using data to follow up and take action. Thanks to Frances Frei for highlighting Lily’s excellent article. EDWARD CHANG, ERIKA KIRGIOS, JAMES ELFER, KATRYN WRIGHT, AND GUUSJE LINDEMANN - Why You Should Start A/B Testing Your DEI Initiatives In their article, Edward Chang, Erika Kirgios, James Elfer, Katryn Wright, and Guusje Lindemann draw on their experience as academics and consultants who have studied the issue extensively, to present the benefits of targeted A/B testing for DEI initiatives. The authors cite company examples that they’ve been involved with, including one with Ericsson to improve internal mobility amongst female employees. They also offer practical guidance for companies interested in doing testing of their own. The more DEI experiments you conduct, the more you’ll learn about what works and what doesn’t, and the faster you’ll make progress on equality at work. FROM MY DESK Below are another selection of six articles I penned or co-penned in 2023. Part 1 contains seven other articles I authored in 2023. 12 Opportunities for HR in 2024 – As the title suggests, this article draws on our research at Insight222 and other studies to document 12 opportunities for HR to continue its progress from support function to strategic partner in 2024 (see also FIG 52). FIG 52: 12 Opportunities for HR in 2024 (Source: David Green) Exploring the Future of Skill-based Organisations - Andreas De Neve ?, CEO at TechWolf, shares insights with me on how HR leaders can make an impact on their business by addressing skill shortages and creating the foundation of a skill-based organisation. 10 Key Learnings from the Wharton People Analytics Conference 2023 - In this article, I share ten key learnings from the 2023 Wharton People Analytics Conference. For more on this event, I recommend listening to this episode of the Digital HR Leaders podcast, which was recored at Wharton PAC and features Prasad Setty and Dawn Klinghoffer as well as contributions from: Tanu Dixit, Matthew Malter Cohen, Sandy Zou, Jessica Smith, Ayanna Matlock, and Garima Khator: People Analytics, Now and the Future: Insights from Wharton PAC. Data democratization: David Green on upskilling HR to become data-driven - An interview with Benjamin Broomfield of HRD Connect where I shared Insight222 research on leading practices for data-driven HR, from communities of practice to data literacy, interpretation, and storytelling. What’s Wrong with People Data? - An interview with Jennifer E. Sigler, PhD, author of TI PEOPLE’s and FOUNT Global, Inc.’s 2022 The State of Employee Experience report to discuss the issues identified in the study in relation to people data. These centred on two key findings: HR is using data that isn’t really suited to improving EX, and they’re taking too much responsibility for EX. 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 2023 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. (2) Open Communication – including the ‘Fair Exchange of Value’. (3) Ethics Oversight – including the institution of an ethics and privacy council. 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. THE DIGITAL HR LEADERS PODCAST In addition, we published 40 episodes of the Digital HR Leaders Podcast in 2023! A huge thank you to all the guest and sponsors, who in order of appearance were: Diane Gherson Dave Ulrich Ian Bailie Susan Cantrell Michael Griffiths Tanuj Kapilashrami Amy Gallo Jeroen Wels Jeff Schwartz Gloat Dr Tomas Chamorro-Premuzic Carmen Whitney Orr Phil Willburn Daniela Seabrook Caroline O'Reilly Workday Lauren Guthrie Christina Norris-Watts Doug Shagam Oliver Shaw Alexis Fink Don Miller Jesse Jacks Orgvue Aashish Sharma Dr. Ella F. Washington Ian White Aaron Falcione Prasad Setty Dawn Klinghoffer ChartHop Heather E. McGowan ?️??️⚧️ Karen Dillon Rob Cross Philip Arkcoll Ian OKeefe Elizabeth J. Altman Robin Jones Worklytics Lexy Martin Yves Van Durme Paul Rubenstein Ashish Pant Wendy Cunningham Peter Meyler Visier Inc. Nick Dalton Piyush Mehta Alicia Roach Chris Hare Nick Bloom Alex Browne eQ8 Jacob Morgan Madeline Laurano Sarah Reynolds Paulo Pisano Hebba Youssef and HiBob. THANK YOU Thanks to all the authors and contributors featured here in Part 2, and also in Part 1 (available on January 14) as well as across the monthly collections from 2023 – see January, February, March, April, May, June, July, August, September, October, November and December - your passion, knowledge and expertise continues to inspire. Thanks also to my colleagues at Insight222, the guests and sponsors of the Digital HR Leaders Podcast in 2023 and the great many of you that share and engage with the content I share. It’s much appreciated. I wish you all well for a happy, healthy, and successful 2024. 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: Jan 25 - The Strategic Agenda for HR in 2025 (webinar - register here) 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 19-20 - 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.

Josh Bersin
2024年01月14日
Josh Bersin

Josh Bersin:2024: The Year That Changes Business Forever (Podcast) The podcast "2024: The Year That Changes Business Forever" by Josh Bersin explores anticipated transformations in business by 2024. It highlights the impact of AI, labor shortages, and evolving organizational structures. The podcast delves into the 2023 economic performance, changes in employee engagement, and the necessity for businesses to adapt strategically. It emphasizes a shift towards dynamic, flatter organizations and the critical role of systemic HR practices in shaping future business landscapes. Josh Bersin探讨了2024年企业预期的转型。这些转型由AI的应用、劳动力短缺和组织结构的变化驱动。播客讨论了2023年的经济表现、员工参与度的变化以及企业为应对未来挑战所需的适应策略。它强调了向动态、扁平化组织的转变和系统性人力资源实践在塑造未来商业环境中的重要作用。 In this podcast I recap 2023 and discuss the big stories for 2024, and to me this year is a tipping point that changes business forever. Why do I say this? Because we’re entering a world of labor shortages, redesign of our companies, and business transformation driven by AI. We’ll look back on 2024 and realize it was a very pivotal year. (Note: In mid-January we’re going to be publishing our detailed predictions report. This article is an edited transcript of this week’s podcast, so it reads like a conversation.) Podcast Begins: Interestingly, the entire year 2023 people were worried about a recession and it didn’t happen. In fact, economically and financially, we had a very strong year. Inflation in the United States and around the world went down. We did have to suffer rising interest rates, and that was a shock, but it was long overdue. I really think the problem we experienced is we had low interest rates for far too long, encouraging speculative investment. Now that the economy is more rational, consumer demand is high, the business environment is solid, and the stock market is performing well. The Nasdaq is almost at an all time high, the seven super stocks did extremely well: the big tech companies, the big retailers, the oil companies, many of the consumer luxury goods companies did extremely well. And the only companies that didn’t do well were the companies that couldn’t make it through the transformation that’s going on. On the cultural front we had the Supreme Court overturning affirmative action in education, which led to a political backlash on diversity and inclusion. The woke mind virus by Elon Musk and similar discussions further pushed back DEI programs, which has made chief diversity officers life difficult. We’re living through two wars, which have been very significant for many companies. I know a lot of you have closed down operations in Russia, and anybody doing business in Israel is having a tough time. And we’ve had this continuous period where every piece of data about employee engagement shows that employees are burned out, tired, stressed. They feel that they’re overworked. Despite this employee sentiment, wages went up by over 5% and people who changed jobs saw raise wages of 8% or more. The unemployment rate is very low so there are a lot of jobs. You could ask yourself, why are people stressed? I think it’s a continued overhang of the pandemic: the remote work challenges, the complexities and inconsistencies in hybrid work. And something else: the younger part of the workforce, those who are going to be living a lot longer than people who are baby boomers, are basically saying I don’t really want to kill myself just to get ahead. I want to have a life. I want to quietly quit. If my company don’t take care of me, I’m going to work my wage, meaning I’m going to work as hard as I’m paid, no more than that. And that mentality has created an environment for the four-day work week, which I think is coming quicker than you realize. And unions, which are politically in favor, are rising at an all time increase in about 25, 30 years. Inflation and the need to raise wages to attract talent leads to pay equity problems. This domain is more complex than you think. You can read about it in our research and in 2024 it belongs on your list. 2024 will also see enormous demand for career reinvention, career development, growth programs, coaching, mentorship, allyship and support amongst the younger part of the workforce. And that means that if you’re in retail, healthcare, hospitality, or one of the other industries that hires younger people you have to accommodate this tremendous demand for benefits. These are things that became very clear in 2023. But let’s talk about the elephant in the room: the biggest thing that happened in 2023 was AI. AI has transformed the conversations we have about everything from media to publishing to HR technology to recruiting to employee development to employee experience. As you probably know, I’m very high on AI. I think it’s going to have a huge transformational effect on our companies, our jobs, our careers, and our personal lives. AI will improve our health, our ability to learn, the way we consume news (note that the NYT just sued OpenAI and Microsoft for copyright infringement). Almost every part of our life will be transformed by AI. I know from our conversations that most of you are trying to understand it and see where it fits. And many of you have been told by your CEO, “we need an AI strategy for the company as well as in HR.” And the AI strategy in HR is one thing, but the bigger topic is the rest of the company. So HR is going to have to be a part of this transformation: the new roles, jobs, rewards, and skills we need. This year I’m very excited that we introduced Galileo™, which about 500 or so of you have been using. We’re going to launch the corporate version for everybody in the corporate membership in February, so corporate members stay tuned (or join). Galileo brings AI to HR in an easy-to-use, safe, and high-value way, so it will help you get your strategy together. It’s basically ready to go. Then later in the year we’ll launch a version to the JBA community and more. AI, despite all the fear-mongering, is already a very positive technology. Where are we going next? Well as the title of this article states, I think this is the year that changes business forever. And I’m not trying to be hyperbolic, I really see a tipping point. Let me give you the story. For about a decade I’ve been writing about the flattening of organizations, breaking down of hierarchies, creating what I used to call the networked organization. And this is now mainstream and we’ve decided to call it the Dynamic Organization. And what we mean by this, as you read about in the Dynamic Organization research or in the Post-Industrial Age study, is that the functional hierarchies of jobs, careers, organizations and companies are being broken down for really good reasons. The reason we have functional hierarchies, job levels and siloed business functions is because they’re patterned after the industrial age when companies made money by selling products and services at scale. The automobile industry, the oil and gas industry, the manufacturing industries, the CPG industries, even the pharmaceutical companies are essentially building things, bringing them to market, launching them, selling them, and distributing them in a linear chain. And that “scalable industrial business model” is how we designed our organizations. So we built large organizations for R&D, large organizations for product management and product design and packaging, large organizations for marketing, large organizations for sales, large organizations for business development and distribution, supply chain, and so on (including Finance and HR). And all these ten or fifteen business functions had their own hierarchies. So you, as an employee, worked your way up those hierarchies. When I graduated from college in 1978 as an engineer, I went into one of those hierarchies. For each employee you were an engineer, a salesperson, a marketing manager, or whatever and you worked your way up the pyramid. And at some point in your career you crossed over and did other things, but that was fairly unusual. That wasn’t really the career path. You worked about 35-40 years in that profession and then you retired. And a lot of companies had another construct: management and labor. Management decided “what to do” and labor “did it.” And all of these designs helped us build most of the HR practices we use today, including hiring, pay, performance management, succession, career management, goal setting, leadership development, and on and on. Today, if you look at how the most valued companies in the world, they don’t operate this way any more. Why? Because it slows them down like molasses. If you have to traverse a functional hierarchy to come up with a new idea it takes months or years to create something new. Today value is created through innovation, time to market, closeness to customers, and unique and high-value offerings. The “hierarchy” wasn’t designed for this at all. Here are a few dogmas to consider. We used to think that all new ideas come out of R&D. That’s crazy. Of course R&D is important, but some of the most innovative companies in the world don’t even have R&D departments, they have product teams. The Research Department at Microsoft didn’t even invent AI, the company had to partner with OpenAI, a company that has less than a thousand employees. Here’s another one to consider. Deloitte consultants used to talk about “innovation at the edge,” otherwise known as “skunk works.” We used to advise clients to “separate the new ideas from the scale business” so they new ideas don’t get crushed or ignored. Well today all the new ideas come from the operating businesses, and we iterate in a real-time way. So there’s another industrial organization structure that just no longer applies. So what we’ve been going through in the dynamic organization, and we’ve studied this in detail, is that we’ve got to design our companies to be flatter. We’ve got to simplify the job titles and descriptions so people can move around. We have to organize people into cross functional teams, we have to motivate and train people to work across the functional silos. We have to build agile working groups, we have to redo performance management around teams and projects, not around individual goals and cascading goals. We need to build pay equity into the system so you’re paid fairly regardless of where you started. Let’s talk about pay. One of the problems with the hierarchy is you get a raise every year based on your performance appraisal. And after a few years your pay may have been quite a bit different than somebody sitting next to you simply because of your appraisals. But you may not be delivering any more than them. That wasn’t fair. If you came into the company with a background in marketing, you made less money than somebody who came into the company with a background in engineering. But five years later you might be doing the same stuff but making different amounts of money. And then there’s gender bias, age bias, and other non-performance factors. In a “skills meritocracy,” as we call it, pay equity has to get fixed. We’ve got to have developmental careers and talent marketplaces and open job opportunities and mentoring for people. And these people practices are the facilitation of becoming more dynamic. And the problem of not being dynamic is what happened at Salesforce, Meta, and other tech companies last year. Salesforce hired thousands of salespeople during the last upcycle after the pandemic, and then a year later laid most of them off. Meta did the same thing. Google’s probably next. These companies, operating in the industrial mindset, thought that the only way to grow is to hire more salespeople, more engineers, or more marketing folks. But the quantity of people in one of these business functions doesn’t necessarily drive growth and profitability. What matters is how they work together and what they do, not how many of them there are. This old idea that we’re going to grow the company by hiring, hiring, hiring is gone. It doesn’t work anymore. It’s still a part of the growth part of the company, you’re always hiring to replace people, to bring new skills, et cetera, and to bring new perspectives. But in a dynamic organization, a lot of the growth comes from within. People grow too. Even the word growth mindset has become overused. We need to have an organizational growth mindset so that we can grow as an organization. A great example of this is Intel. Intel lost their way in the manufacturing of semiconductors and also in the R&D. Now they’re reinventing themselves internally and their stock is skyrocketing. They didn’t hire some guru to tell them what to do, they know what to do. They just need to get around to doing it. Google has more AI engineers than OpenAI, Anthropic, and all the other little guys put together, but they didn’t execute well. Now they’re executing better. They brought their AI teams together into cross-functional groups and they’re sharing IP from YouTube with other business areas. I bet they stomp many of the others in AI once they get it going. That’s part of being a dynamic organization. You as HR people know better than anybody how dysfunctional it is when there are multiple groups in the company doing competing things and they’re not working together because they don’t know about each other, or they don’t talk to each other. There’s no cross fertilization or they’re protecting their turf. All of these are the things that get in the way of being a dynamic organization. And the reason it’s relevant in the next year is this has taken hold. Things like talent marketplaces and career pathways and skills-based organizations, skills based hiring, skills based pay, skills based careers, skills based development, et cetera… these are not just HR fads, they’re solutions to this big shift: making companies more dynamic. Despite their value in the past, hierarchical stove-piped companies don’t operate very well anymore. Now this isn’t an A-B switch type of thing. This is an evolution, but it’s taking place very quickly. And the reason we came up with this concept of Systemic HR is we in HR have to do the same thing. The HR function itself operates in silos. We’ve got the recruiting group, the DEI group, the Comp group, the L&D group, the business partners, the group that does compliance, the group that worries about wellbeing. We’ve got somebody over here is doing an EX project, somebody over there is doing a data management project, a people analytics group. Okay. Those are all great functional areas that belong in HR. But if they’re not working together on the problems that the company has, and I mean the big problems, growth, profitability, productivity, M&A, etc., then who cares? Then you’re at level one or level two in systemic HR. We built the Systemic HR initiative around business problems. And that’s how we came up with the new HR operating model (read more details here or view the video overview). I think Systemic HR will be a very big deal for 2024, and there are many reasons. Not only are we living in a labor shortage but there’s another accelerant, and that is AI. For those of you that have used Galileo, and I hope you all get a chance to use it this year, it’s absolutely unbelievable how AI can pull together information, data, text from many sources in the company and make sense of what your company is doing. You know as well as I do, if you’ve worked in sales, if you’ve worked in marketing, if you worked in finance, these are siloed groups. Few companies have a truly integrated data management system for all of their customer data match to their sales, data match to their revenue, data match to their marketing. Customer data platforms are a idea, but it doesn’t really happen very often, and it takes tens to hundreds of millions of dollars and many, many systems to do that. Well, AI does this almost automatically. So when you pull together a tool like Galileo, and you use our research as part of the corpus, and you add data about employee turnover, for example, in your company, or pay variations, you’ll see the relationship between pay and turnover just by asking a question. You don’t have to go spend months doing an analysis and trying to figure out if the analysis is any good. And that’s happening all over the company in sales and customer service and R&D and marketing – everywhere. So this more integrated, dynamic organization is happening before your eyes. In 2024, this is the context for almost everything we’re going to be working on now. The other context is the labor market, which is going to be very tough. You’ve read about from us and others about how tight the labor market is now. Unemployment in the United States is 3.8%, and it’s not going to get much better. Even if we do have a recession, which is questionable, there aren’t enough people to hire. The fertility rate is low, and even if every company gives employees fertility benefits and they all have babies, it will take twenty years for these people to go to work. So all of the developed countries: US, UK, Canada, Germany, Japan, the Nordics, China, Russia, the fertility rate has been low for a long time. The World Bank sees working population shrinking within ten years in almost every developed economy. Since hiring is going to get harder and we’ll see fewer and fewer working people, companies have to be much more integrated in hiring. And we all have to look the Four R’s: Recruit, Retain, Reskill, Redesign. This puts HR in the middle of a lot of job redesign, career reinvention, and a serious look at developing skills, not hiring skills, and using the tools we have as hr professionals to help the organization improve productivity without just hiring and hiring and hiring. I measure the success of companies by two things. One is their endurance: how well have they fared over ups and downs? The second is their revenue per employee. Companies with low revenues per employee tend to be poorly managed companies relative to their peers. Of course there’s a lot of industry differences. When we went through our GWI industry work: healthcare, consumer goods, pharma, banking, we could see the high performing companies were very efficient on a headcount basis. And we found out these companies are actually implementing Systemic HR practices. The other driver that we’re living in a service economy. Interestingly enough, in the United States, more than 70% of our GDP is now services. So the people you have, the humans in your company, are the product. And if you’re not getting good output per dollar of revenue per human, you’re not running the company very well. And this leads to many management topics. How are we going to build early and mid-level leaders? How can we rethink what employees really need? The topics of employee engagement and employee experience are really 25 to 30 years old. They need a massive update. How are we going to implement AI in L&D and replace a lot of these old systems that everybody kind of hates, but we’re stuck with? What’s going on with the ERP vendors and what role will they play as we replace our HR tech with AI powered systems? How will we implement scalable talent intelligence? In a world of labor shortages talent intelligence becomes even more important, whether you think of it for sourcing and recruiting or an internal mobility or just a strategic planning initiative. How do we all get comfortable with AI? And then there’s this issue of Systemic HR and developing your team, your function, your operating model to be more adaptive and more dynamic. So I look back on 2023 I feel it was one of the most fascinating and fun and enriching years that I’ve had. I am always amazed and impressed and energized by you, by you guys who were out there on the firing lines, dealing with these complex issues and companies with old technologies and all sorts of changes going on and how you’re adapting. I continue to be more impressed and more excited about the HR profession every year. I think a lot of people who aren’t in HR think we do a lot of compliance and administration stuff and we fire people. That is the tiniest part of what we do. 2024 is going to be an important year. You as an HR professional are going to have to learn a lot of things. You’re going to learn about Systemic HR issues, you’re going to learn about AI, and you’re going to learn to be a consultant. There’s no question in my mind that over the next decade or two dynamic organization management is going to become a bigger and bigger issue – how we manage people and companies. And I don’t mean manage like supervise, I mean develop, move, retain, pay, et cetera, culture, all of those things. I leave 2023 very energized about what’s to come with AI. And if you’re afraid of AI, just take a deep breath and relax. It’s not going to bite you. There’s nothing evil here. It’s a data driven system. If you don’t have your data act together, you’re not going to get a lot of good value out of AI. I talked to Donna Morris at Walmart last week; I talked to Nickle LaMoreaux at IBM; and I talked with the senior HR leaders at Microsoft. They’re all seeing huge returns on investment from the early implementations, and seeing hundreds of use cases. We’re going to have a lot of new tools and lots of vendor shakeout. (Check out what SAP is up to and where Workday is going.) Stay tuned for our big Predictions report coming out in mid January. That report is my chance to give you some deep perspectives on where I think things are going, recap things that have happened over the last couple of years, and give you some perspectives for the year ahead. As always we would be more than happy to walk through these things with your team. I hope you have a really nice holiday season and you take a deep breath. The world is never perfect. It’s never been perfect. It wasn’t perfect in the past. It won’t be perfect in the future. But the environment you live in and the environment that you create can be enriching, enjoyable, productive, and healthy, and fun if you decide. And I think we all have the opportunity to make those decisions. It has been a pleasure and an honor for me to serve and work with you this last year, and I’m really looking forward to an amazing 2024 together. –END OF PODCAST– Irresistible: The Seven Secrets of the World’s Most Enduring, Employee-Focused Organizations

Josh Bersin
2023年12月30日
Josh Bersin

Josh Bersin人工智能实施越来越像传统IT项目 Josh Bersin的文章《人工智能实施越来越像传统IT项目》提出了五个主要发现：数据管理：强调数据质量、治理和架构在AI项目中的重要性，类似于IT项目。安全和访问管理：突出AI实施中强大的安全措施和访问控制的重要性。工程和监控：讨论了持续工程支持和监控的需求，类似于IT基础设施管理。供应商管理：指出了AI项目中彻底的供应商评估和选择的重要性。变更管理和培训：强调了有效变更管理和培训的必要性，这对AI和IT项目都至关重要。原文如下，我们一起来看看： As we learn more and more about corporate implementations of AI, I’m struck by how they feel more like traditional IT projects every day. Yes, Generative AI systems have many special characteristics: they’re intelligent, we need to train them, and they have radical and transformational impact on users. And the back-end processing is expensive. But despite the talk about advanced models and life-like behavior, these projects have traditional aspects. I’ve talked with more than a dozen large companies about their various AI strategies and I want to encourage buyers to think about the basics. Finding 1: Corporate AI projects are all about the data. Unlike the implementation of a new ERP system, payroll system, recruiting, or learning platform, an AI platform is completely data dependent. Regardless of the product you’re buying (an intelligent agent like Galileo™, an intelligent recruiting system like Eightfold, or an AI-enabling platform to provide sales productivity), success depends on your data strategy. If your enterprise data is a mess, the AI won’t suddenly make sense of it. This week I read a story about Microsoft’s Copilot promoting election lies and conspiracy theories. While I can’t tell how widespread this may be, it simply points out that “you own the data quality, training, and data security” of your AI systems. Walmart’s My Assistant AI for employees already proved itself to be 2-3x more accurate at handling employee inquiries about benefits, for example. But in order to do this the company took advantage of an amazing IT architecture that brings all employee information into a single profile, a mobile experience with years of development, and a strong architecture for global security. One of our clients, a large defense contractor, is exploring the use of AI to revolutionize its massive knowledge management environment. While we know that Gen AI can add tremendous value here, the big question is “what data should we load” and how do we segment the data so the right people access the right information? They’re now working on that project. During our design of Galileo we spent almost a year combing through the information we’ve amassed for 25 years to build a corpus that delivers meaningful answers. Luckily we had been focused on data management from the beginning, but if we didn’t have a solid data architecture (with consistent metadata and information types), the project would have been difficult. So core to these projects is a data management team who understands data sources, metadata, and data integration tools. And once the new AI system is working, we have to train it, update it, and remove bias and errors on a regular basis. Finding 2: Corporate AI projects need heavy focus on security and access management. Let’s suppose you find a tool, platform, or application that delivers a groundbreaking solution to your employees. It could be a sales automation system, an AI-powered recruiting system, or an AI application to help call center agents handle problems. Who gets access to what? How do you “layer” the corpus to make sure the right people see what they need? This kind of exercise is the same thing we did at IBM in the 1980s, when we implemented this complex but critically important system called RACF. I hate to promote my age, but RACF designers thought through these issues of data security and access management many years ago. AI systems need a similar set of tools, and since the LLM has a tendency to “consolidate and aggregate” everything into the model, we may need multiple models for different users. In the case of HR, if build a talent intelligence database using Eightfold, Seekout, or Gloat which includes job titles, skills, levels, and details about credentials and job history, and then we decide to add “salary” … oops.. well all of a sudden we have a data privacy problem. I just finished an in-depth discussion with SAP-SuccessFactors going through the AI architecture, and what you see is a set of “mini AI apps” developed to operate in Joule (SAP’s copilot) for various use cases. SAP has spent years building workflows, access patterns, and various levels of user security. They designed the system to handle confidential data securely. Remember also that tools like ChatGPT, which access the internet, can possibly import or leak data in a harmful way. And users may accidentally use the Gen AI tools to create unacceptable content, dangerous communications, and invoke other “jailbreak” behaviors. In your talent intelligence strategy, how will you manage payroll data and other private information? If the LLM uses this data for analysis we have to make sure that only appropriate users can see it. Finding 3: Corporate AI projects need focus on “prompt engineering” and system monitoring. In a typical IT project we spend a lot of time on the user experience. We design portals, screens, mobile apps, and experiences with the help of UI designers, artists, and craftsmen. But in Gen AI systems we want the user to “tell us what they’re looking for.” How do we train or support the user in prompting the system well? If you’ve ever tried to use a support chatbot from a company like Paypal you know how difficult this can be. I spent weeks trying to get Paypal’s bot to tell me how to shut down my account, but it never came close to giving me the right answer. (Eventually I figured it out, even though I still get invoices from a contractor who has since deceased!) We have to think about these issues. In our case, we’ve built a “prompt library” and series of workflows to help HR professionals get the most out of Galileo to make the system easy to use. And vendors like Paradox, Visier (Vee), and SAP are building sophisticated workflows that let users ask a simple question (“what candidates are at stage 3 of the pipeline”) and get a well formatted answer. If you ask a recruiting bot something like “who are the top candidates for this position” and plug it into the ATS, will it give you a good answer? I’m not sure, to be honest – so the vendors (or you) have to train it and build workflows to predict what users will ask. This means we’ll be monitoring these systems, looking at interactions that don’t work, and constantly tuning them to get better. A few years ago I interviewed the VP of Digital Transformation at DBS (Digital Bank of Singapore), one of the most sophisticated digital banks in the world. He told me they built an entire team to watch every click on the website so they could constantly move buttons, simplify interfaces, and make information easier to find. We’re going to need to do the same thing with AI, since we can’t really predict what questions people will ask. Finding 4: Vendors will need to be vetted. The next “traditional IT” topic is going to be the vetting of vendors. If I were a large bank or insurance company and I was looking at advanced AI systems, I would scrutinize the vendor’s reputation and experience in detail. Just because a firm like OpenAI has built a great LLM doesn’t mean that they, as a vendor, are capable of meeting your needs. Does the vendor have the resources, expertise, and enterprise feature set you require? I recently talked with a large enterprise in the middle east who has major facilities in Saudi Arabia, Dubai, and other countries in the region. They do not and will not let user information, queries, or generated data leave their jurisdiction. Does the vendor you select have the ability to handle this requirement? Small AI vendors will struggle with these issues, leading IT to do risk assessment in a new way. There are also consultants popping up who specialize in “bias detection” or testing of AI systems. Large companies can do this themselves, but I expect that over time there will be consulting firms who help you evaluate the accuracy and quality of these systems. If the system is trained on your data, how well have you tested it? In many cases the vendor-provided AI uses data from the outside world: what data is it using and how safe is it for your application? Finding 5: Change management, training, and organization design are critical. Finally, as with all technology projects, we have to think about change management and communication. What is this system designed to do? How will it impact your job? What should you do if the answers are not clear or correct? All these issues are important. There’s a need for user training. Our experience shows that users adopt these systems quickly, but they may not understand how to ask a question or how to interpret an answer. You may need to create prompt libraries (like Galileo), or interactive conversation journeys. And then offer support so users can resolve answers which are wrong, unclear, or inconsistent. And most importantly of all, there’s the issue of roles and org design. Suppose we offer an intelligent system to let sales people quickly find answers to product questions, pricing, and customer history. What is the new role of sales ops? Do we have staff to update and maintain the quality of the data? Should we reorganize our sales team as a result? We’ve already discovered that Galileo really breaks down barriers within HR, for example, showing business partners or HR leaders how to handle issues that may be in another person’s domain. These are wonderful outcomes which should encourage leaders to rethink how the roles are defined. In our company, as we use AI for our research, I see our research team operating at a higher level. People are sharing information, analyzing cross-domain information more quickly, and taking advantage of interviews and external data at high speed. They’re writing articles more quickly and can now translate material into multiple languages. Our member support and advisory team, who often rely on analysts for expertise, are quickly becoming consultants. And as we release Galileo to clients, the level of questions and inquiries will become more sophisticated. This process will happen in every sales organization, customer service organization, engineering team, finance, and HR team. Imagine the “new questions” people will ask. Bottom Line: Corporate AI Systems Become IT Projects At the end of the day the AI technology revolution will require lots of traditional IT practices. While AI applications are groundbreaking powerful, the implementation issues are more traditional than you think. I will never forget the failed implementation of Siebel during my days at Sybase. The company was enamored with the platform, bought, and forced us to use it. Yet the company never told us why they bought it, explained how to use it, or built workflows and job roles to embed it into the company. In only a year Sybase dumped the system after the sales organization simply rejected it. Nobody wants an outcome like that with something as important as AI. As you learn and become more enamored with the power of AI, I encourage you to think about the other tech projects you’ve worked on. It’s time to move beyond the hype and excitement and think about real-world success.

Josh Bersin
2023年12月17日
Josh Bersin

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。

Josh Bersin
2023年12月13日
Josh Bersin

Josh Bersin：Introducing Galileo™, The World’s First AI-Powered Expert Assistant For HR As many of you know, HR professionals play a vital, complex, and constantly changing role in business. These 30 million professionals hold more than 250 job roles and leverage over 400 skills to help companies with all aspects of management: recruiting, development, leadership, coaching, diversity, pay, benefits, hybrid work, and more. And they must also select and implement a wide array of technologies and tools to help their companies grow. The Josh Bersin Company, through 25 years of research and interviews with thousands of companies and vendors, has amassed the most trusted library of best-practices, vendor information, benchmarks, case studies, and professional development tools for HR. Last Spring we embarked on a project to build an “HR Copilot”, consolidating our content into a Generative AI platform. The results were amazing: using Gen AI we were able to build an amazing new experience: users can ask questions, compare vendors, dig into solutions, and generate implementation plans, RFP templates, and more. Today, in our ongoing effort to help HR professionals drive value for their companies, we’re ready to launch this offering. I’m excited to introduce Galileo™, the world’s first AI-powered expert assistant for HR. (Join the waitlist.) Every HR Question Answered Just as Galileo mapped the heavens to explain the universe, our Galileo™ gives HR teams the ability to understand, learn, and seek out best-practices in every area of HR. Powered by Sana’s AI platform, Galileo™ gives users complete access to all of The Josh Bersin Company’s comprehensive research, articles, and tools. And unlike internet-based AI tools, Galileo is free of promotional material, giving you trusted, detailed, verifiable accurate information. We designed Galileo™ to be the HR professional’s ‘always-on’ resource to learn, ask questions, and develop solutions. Galileo™ can answer questions on hundreds of topics, provide detailed information on vendors and HR technology, draft RFPs and implementation plans, and give users guidance, case studies, and benchmarks. All of the Josh Bersin Company research is instantly available, with access to in-depth reports, podcasts, articles, and courses. This includes access to our maturity models, frameworks, case studies, and our new definition of terms, The Josh Bersin Company Lexicon™. Galileo™ will revolutionize the way HR Professionals do their jobs. No longer will you have to guess how to develop a new program or understand a vendor – accurate information is available at your fingertips. Galileo Is A Learning, Design, And Problem Solving Assistant Many HR problems are complex. To make problem-solving easy, Galileo includes a library of more than 50 pre-defined “prompts” which help professionals with topics like hiring, onboarding, performance management, training, and multi-disciplinary topics like building a skills taxonomy, implementing pay equity, workforce planning, or designing a capability academy. We designed these prompts in chains, so as you ask a question, Galileo will take you down a path to learn, explore, and further assist you in your query. (The Galileo Getting Started Guide shows you some of the solutions available.) Enterprise Ready: Galileo Is Your Company’s Expert Assistant And there’s more. As you use Galileo, you will want to put your own HR policies and internal information into the system. Thanks to the architecture of Sana, Galileo lets users and teams add your information to the corpus, turning Galileo into your company’s in-house HR and employee assistant. In this private workspace your data and privacy are protected: Galileo is an enterprise grade, secure platform that isolates your data from others, pre-trained by The Josh Bersin Company research. And our partnership with Sana goes further. Not only does the Sana platform provide scale and speed, it lets us build multiple AI assistants. If you want an expert assistant tailored to specific HR disciplines, like Talent Acquisition, L&D, DEI, or line managers, we can create them without writing code. “This is just the beginning,” said Josh Bersin, CEO and Founder of The Josh Bersin Company. “This paradigm-shattering offering will change the way companies run their HR organizations and manage their people, enabling any professional to operate like a world-class expert in a short period of time. Galileo is a supportive, developmental assistant, ready to give users detailed answers, real-world examples, and guidance at any time.” Initially Galileo will be available to our corporate members and later next year we will roll out a version available to members of The Josh Bersin Academy. We want to thank Sana for their partnership and look forward to evolving Galileo rapidly in the coming months. Anyone interested in experiencing Galileo can sign up for the wait list. We expect general availability in early 2024. Questions: What Topics Are Covered by Galileo? Galileo stores more than 50,000 pages of Josh Bersin Company research, including podcasts, articles, and comprehensive data and analysis on a wide variety of topics. These include talent acquisition, talent management, corporate training, diversity and inclusion, organization design, rewards and recognition, pay and pay equity, performance management, leadership development, global HR operations, hybrid work, culture, change management, and every major area of HR technology. More than 500 vendors are covered by Galileo and the database is growing and updated every week. Over time Galileo will also include real-time information on new vendor offerings, the labor market, skills and capabilities, and important regulatory changes in HR. To get just a glimpse of what Galileo can do, review the “Galileo Getting Started Guide.” Is Galileo Generative AI? Yes, Galileo is an advanced Generative AI solution that lets users ask questions and prompt the system to compare vendors, list best practices, and even create implementation plans, historical perspectives, and in-depth analysis. This means an HR professional can ask any simple question and Galileo will not only answer the question but give the user follow-on prompts to help them learn more, find examples, or download detailed reports, articles, podcasts, or tools. What Is The Research and Information Provided? Over the last three decades The Josh Bersin Company has studied nearly every domain of HR, developing in-depth maturity models, frameworks, benchmarks, and case studies. We have also added all of Josh’s blogs, podcasts, and videos – and we will be adding much more. While Galileo does not include legal and regulatory guidelines (these can be discovered in local jurisdictional systems), it covers every major domain of HR, empowering any HR leader or professional to quickly learn, find examples, and solve a problem. How Do We Know Galileo Information Is Accurate? Unlike public domain tools, Galileo is trained exclusively on The Josh Bersin Company’s large corpus of information and research. This means it does not suffer from the “AI drift” problem experienced by internet-sourced systems. In fact the opposite is true: as users query and use the system, it enables them to rate the generated answers and get smarter over time. How Do I Know That Galileo Is Secure? Galileo does not train any underlying language models on user input, thereby eliminating the risk of data leakage. Sana, which powers Galileo, is single tenant, ISO 27001 certified, and GDPR compliant. All data is encrypted at rest with AES 256 and in transit with TLS 1.2+. The platform follows data privacy regulations and guidelines to protect each individual user. Can I Use Galileo To Create My Own HR Assistant? Yes, Galileo is built on the highly configurable Sana platform, enabling users and teams to add their own content and create new AI assistants. We will offer these private workspace features to corporate clients and then roll them out to individual JBA members later in 2024. How does Galileo Differ From Other AI Tools? Many companies are experimenting with Generative AI through public internet tools. Galileo differs from these existing AI tools for the following reasons: Enterprise Scale, Scope, and Security. Galileo is built on an enterprise scale AI platform capable of loading massive volumes of your own company information. This means you can build on the Josh Bersin Company corpus to safely add your own processes, training, compliance documents, and support material for HR professionals and other users throughout your company. Depth of expertise. The answers and support you receive from Galileo are based on an extensive library from The Josh Bersin Company, one of the world’s leading advisory companies for corporate learning, talent management, and HR. The Josh Bersin Company has customized Galileo to answer and behave as if it were an expert consultant from their organization. Source attribution. While other AI chat tools don’t consistently back up their answers, Galileo attributes sources to each answer with specific references and further learning content from The Josh Bersin Company library. And for corporate members, you can download and read the detailed sources. Privacy. While other assistants may get trained on your data and usage, risking data leakage, Galileo lets you upload your own content without training any underlying large language models on your data. Workflow support. Beyond answering questions and brainstorming ideas, Galileo helps you solve day-to-day tasks like drafting implementation plans because it can generate content based on both expert HR resources and your organization’s information. How Does Galileo Get Smarter Over Time? As we say, Galileo is smart and always getting smarter. It does this through many features. First, Galileo integrates, tags, transcribes, and indexes all of The Josh Bersin Company’s content on an ongoing basis, making sure the system is always trained on the latest research, findings, and vendor information. Every day we add new information. Second, answers to questions are generated with retrieval-augmented generation (RAG), identifying the semantically relevant videos, audio, and texts, ranking the sources, and attributing the generated answers to the underlying references. We monitor questions and continuously improve results to provide detail and actionable answers. Third, we take advantage of user-generated feedback. When users upvote or downvote answers the system learns to provide more accurate answers. The Bersin team works with Sana to improve the detailed answers in commonly asked questions. During the 9-month pilot we already optimized hundreds of questions. Finally, we have developed “prompt chains” of more than 100 known use-cases in HR and management. Galileo literally prompts you to dive into a problem to learn more, explore vendors, read case studies, and learn best-practices. We will accelerate these solutions over time. The Josh Bersin Company uses Sana AI’s assistant builder to tailor Galileo’s instructions, specifically adapted to various HR roles and tuned with hundreds of archetypical HR scenarios. Who Is Sana and What is Sana AI? Sana is an AI company transforming how organizations learn and access knowledge. Their end-to-end learning platform is trusted by hundreds and thousands of users at leading enterprises like Kry/Livi, Merck, and Svea Solar. Backed by top-tier investors, operators, and founders, they have raised over $80m to date. The company’s headquarters are in Stockholm, Sweden, with offices in London and New York. Galileo is powered by Sana AI, the company’s newest product. To learn more about Sana, go to https://www.sanalabs.com/galileo. How Is Galileo Sold and Offered? Initially Galileo is being offered to Josh Bersin Company Corporate Members, enabling these organizations to empower and support their HR teams in an exciting new way. These individuals can access all the information, download all materials, take courses, and share the tools and information with their teams. In the coming months there will be a version of Galileo for members of The Josh Bersin Academy. We encourage anyone interested to register on our waitlist so that we can provide updates on availability. How Do I Get Access To Galileo Now? Please join our wait list, we are now rolling out Galileo to corporate members and look forward to supporting you.

Josh Bersin
2023年11月17日

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