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  • David Green
    12 Opportunities for HR in 2025: Thriving People, Thriving Organisation This quote, most commonly attributed to Sun Tzu, aptly captures the essence of the 2020s as we reach the halfway point of what has been a turbulent decade thus far. The chaos element has been to the fore with a global pandemic, geopolitical tension, and economic uncertainty leading to an increasingly complex and volatile business environment. Sprinkle in the rapid advances in technology and artificial intelligence, then it’s not hard to see why 45% of CEOs believe their company will not be viable in ten years if it stays on its current trajectory (1). Here comes the opportunity element. For the HR profession, there’s a strong case to be made this perfect storm has accelerated the transformation of the field from a support function to a strategic partner to the C-suite and the board. Josh Bersin argues that the chief people officer may now be the most important C-suite role of them all (2). Certainly, the opening words of Deloitte’s latest Global Human Capital Trends report encapsulates that many of the major challenges organisations face have people topics at their heart (3): We’re operating in a world where work is no longer defined by jobs, the workplace is no longer a specific place, many workers are no longer traditional employees, and human resources is no longer a siloed function Herein lies the opportunity for chief people officers: to align people strategy, analytics and technology to enable company growth, lead transformation both for the business and the function, act as the steward for ethical AI (4), and upskill HR professionals. Thriving people, thriving organisation. During the 10+ years I’ve been publishing this annual look at the year ahead, it has evolved from a framing of predictions or trends to opportunities, given that much of what follows will likely take years to play out. As ever, the 2025 opportunities are informed by the research and work we do at Insight222 (5), interviews with guests on the Digital HR Leaders podcast (6), conversations with leaders in the field and market analysis. References are numbered throughout, and a comprehensive list with links is included at the end. Get involved – what should opportunities #11 and #12 be? Readers may note that the title and accompanying image indicate 12 opportunities, whereas only ten are outlined. That is because – as was the case in previous years - I’m keen to crowdsource the final two opportunities from readers. What other opportunities should be included? Please let me know in the comments section below, and I’ll add my favourite two to an updated version in January. THE 2025 OPPORTUNITIES FOR HR Ten opportunities for HR to realise in 2025… 1. Cultivating the thriving organisation Ask not what your people can do for you, but ask instead what you can do for your people A 2024 study by McKinsey estimates that the total global opportunity for optimising employee health and wellbeing could be up to $11.7 trillion (7). Numerous studies, including by Oxford University, find a strong positive relationship between employee wellbeing and firm financial performance (8). Indeed, according to Accenture, companies that take a people-centric approach could create $10.3 trillion in economic value (9). When people thrive, organisations thrive. Yet, employee burnout levels remain at an all-time high (10, 11). This presents an opportunity for HR to flip the script and, to paraphrase President John F. Kennedy, ask not what your people can do for you, but ask instead what you can do for your people. By focusing on creating value for employees and helping them to thrive, companies can create a virtuous cycle whereby employee outcomes enhance organisational outcomes and vice-versa (12, 13). For example, one PwC study found that making investments in 11 key areas of employee experience can yield savings equivalent to 12.6% of revenues (14). While Deloitte reports that the organisations that score highest on treatment of their workforce had a 2.2% higher five-year return on equity (15). Reimagining work as a product (16), becoming a listening organisation focused on turning employee feedback into action (17), as well as using people analytics to measure how wellbeing, purpose, learning, and attrition connect to business outcomes (18, 19), are three ways to create value. If successful in this mission, HR could elevate the function from its traditional role as a cost centre to a true value creation centre, while creating a fairer, healthier, and more humane organisation (20). What could be a bigger and better opportunity than that? An organization that views its employees as its most important resource can maximize its return on talent (21) FIG 1: Thriving stars have an outsize influence on organisations (Source: McKinsey) 2. Transforming HR into a strategic partner The CHRO must transform the HR team, moving from the “service delivery” model to an HR team of consultants, problem-solvers, and analysts. (22) With CEOs increasingly demanding more from HR and with data and AI enabling the transformation of HR into a more strategic, value-added and insight-driven function (23, 24), chief people officers have the opportunity to elevate HR from its traditional role as a support function into a true strategic partner (25). Six areas to consider are: i) Rethinking the HR operating model. Nearly two-thirds of companies have done so in the past two years (26). There’s certainly no shortage advice (27 – see FIG 2, 28, 29, 30). ii) Putting people analytics at the right-hand of the CHRO.Our research at Insight222 finds that a strong connection with the people analytics leader together with combining people strategy and analytics enhances the credibility and impact of the CHRO with the board (31, 32), as does embedding it as part of the HR service model (33). iii) Reimagining key HR roles and processes through automation toincrease the focus on high-value strategic work (34, 35). iv) Prioritising high-impact use cases for deploying AI across HR programs and the employee lifecycle (36, 37). v) Identifying future skills and capabilities of HR professionals together with a strategy to close any gaps. vi) Leading on the development of ethical and responsible AI policies and enablement programs (38) – and never forgetting the ‘H’ in HR. FIG 2: Assessment of Ten Dimensions of HR Effectiveness (Source: The RBL Group) 3. Setting the agents to work We're using AI in three broad categories: recommendations, assistants, and agents. This is transforming our HR function. (39) The topic du jour is agentic AI – the next frontier of generative AI (40). Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024 (41). Josh Bersin believes that agentic AI will change the HR tech stack and make our HR roles easier (42, 43). The likes of SAP (Joule), Workday (Illuminate) and ServiceNow (AI Agents) have already launched tools (44). Early use cases in HR are also emerging such as HiRO, a digital worker, IBM has used to save 50,000 hours in its quarterly promotion process (45, 46). From what I’ve learned in the last few months (and I’m still learning about this too), agentic AI – in essence a shift from Large Language Models to Large Action Models - provides a huge opportunity to rapidly accelerate HR’s progress from support function to strategic partner. Some suggestions for chief people officers to prepare: i) stay informed with the latest developments by keeping in touch with your peers, enterprise and HR tech partners, ii) identify and prioritise potential use cases, iii) upskill and prepare your team, iv) double down on ethics, privacy and responsible AI (47, 48, 49). One additional recommendation is to engage your people analytics team. Our research at Insight222 identified that AI strategy for the HR function is increasingly coming under the auspices of the people analytics leader (50). Moreover, this is also seeing the people analytics leader in some companies taking on a wider portfolio for disciplines such as HR tech and digital transformation, people strategy and operations (51, 52, 53). FIG 3: A System of Agents (Source: Foundation Capital) 4. Elevating hybrid from where to how What we need isn’t an office mandate—it’s a ‘collaboration mandate.’ (54) There’s still too much focus on where people work rather than how work gets done. Despite executives being 3x more likely to say the how is more important (55). Indeed, with more than 90% of companies having hybrid workers (56) and with employees working remotely on average more than 25% of the time (57) it’s time to elevate the conversation from an office to a collaboration mandate (58). HR has an opportunity to lead the redesign of work through conducting experiments and collecting data to learn how work is getting done, and how employees are feeling (59). The shift to hybrid has been one of the key factors driving growth in people analytics (60). The body of published research is growing with several studies finding that in comparison to their fully in-person or remote colleagues, hybrid workers have higher wellbeing (61), engagement (62) and retention but no difference in collaboration and innovation (63). Additional research provides guidance on when in-person matters (64), making the office a magnet not a mandate (65), cultivating culture (66), fostering trust (67), and focusing on outcomes (68 – FIG 4) including broadening how we measure productivity (69). Hybrid is here to stay, so let’s make hybrid work – for companies, and for workers – and let’s follow the science rather than the headlines (70). FIG 4: Focus on Productivity, Not Physical Presence (Source: Brian Elliott) 5. Investing in a people analytics “A Team” In “A” Teams, people analytics is embedded in the people strategy. “A” Teams regularly and dynamically prioritise their work according to the needs of the C-suite and the business agenda (71) People analytics is now widely acknowledged as an organisational imperative (72), with chief people officers recognising that they need data and insights to gain traction with the board (73). Recent studies by Deloitte (74), Josh Bersin (75) and PwC (76), as well as our own fifth annual Insight222 People Analytics Trends study (77), all show significant growth in people analytics. Yet, together, they also highlight that most organisations are still only scratching the surface of what is possible. Only 10% of the 348 companies that participated in the Insight222 study are defined as “A” Teams (see FIG 4). Our research – and experience of working directly with over 100 organisations through the Insight222 People Analytics Program® – finds virtually all “A” Teams play a key role in defining the people strategy and effectively align their work to the most important business priorities accordingly (78), echoing other studies (79, 80). Additionally, chief people officers can realise more value with people analytics by focusing on: i) Improving the adoption and consumption of people data and insights by employees and managers. ii) Using intelligent automation to personalise analytics solutions. iii) Measuring the value of people analytics, working closely with finance (81). Success istarts with the right people analytics leader (82), who should be executive influencers, consultants, storytellers and marketeers. The role of the people analytics leader continues to evolve, and chief people officers should carefully consider the type of leader they need (83, 84). People analytics - and the ability to drive actions with insights – is the silver thread to unlock and realise all the opportunities outlined in this article, and a critical element of the drive to make HR more evidence-based (85). Remember, as Jonathan Ferrar and I wrote in our book, Excellence in People Analytics: People Analytics is not about HR. People Analytics is about the business (86, 87). FIG 5: Insight222 Leading Companies in People Analytics model (Source: Insight222) 6. Making workforce planning strategic Strategic workforce planning is a perennial challenge. Although the core principles are not new, the urgency to act has increased, and the availability of data-driven insights has changed the competitive landscape (88) Strategic workforce planning (SWP) is essentially a systematic and data-led approach for an organisation to ensure it has the right workforce to achieve its business objectives (89). With the speed and extent of change arising from the fifth industrial revolution, talent shortages and the shift to skills, SWP has arguably never been so important. It is consistently cited as a top three priority for people leaders (90, 91), a challenge compounded by studies suggesting that only 15% of organisations currently practice SWP (92). Our research at Insight222 finds a growing number of companies – 50% in a 2024 study - combine SWP with people strategy and analytics (93). These companies are more successful in connecting their SWP activities to their business priorities (94), have a better view of their future talent needs, and the strategies to close any gaps (95). Four other steps to increase success with SWP are: i) Aligning SWP efforts with business strategy (96, 97 – see example from Merck Group in FIG 6) including prioritising business critical roles and skills (98); ii) Bringing together people, business and external data to get the full picture (99); iii) Connecting SWP to other talent capabilities such as internal mobility, recruiting and learning (100); and, iv) Measuring the impact of workforce planning activities and linking these to business outcomes (101). FIG 6: How Merck prioritises SWP needs by relevance and actionability (Source: Gartner) 7. Orchestrating skills for Impact A cultural shift to skills-first approaches needs both sponsorship from executives and governance from human-resources professionals (102) While ‘skills’ has been an opportunity for HR for several years, the topic continues to gather momentum. Skills gaps and shortages are one of the most pressing concerns for companies (103). Rapid advances in technology only exacerbate the challenge (104), with 44% of workers’ skills expected to be disrupted by 2028 (105) and reskilling workers a primary objective for many companies (106). Consequently, one study reports that 90% of companies are experimenting with a skills-based approach (107). Why? Because becoming skills-based can lead to greater agility, resilience, and flexibility in the face of rapid change (108). EPAM, which has adopted a skills-based approach for 30 years, believes it catalyses its business agility and enables the company to attract, develop and retain some of the best tech talent in a highly competitive market (109). Meanwhile, Standard Chartered has generated over 1,700 gigs and $6m of productivity from its initial talent marketplace pilot in India (110, 111) and has also calculated that reskilling and redeploying internal talent generates a saving of $49,000 per role versus hiring externally (112). We are continually learning more about what drives success in this space including at companies such as Ericsson (113), J&J (114, 115), IBM (116), Google (117), Mastercard (118) and Lloyds Banking Group (119). Some steps to consider: i) Do your homework – shifting to a skills-based approach is not cheap or easy, make sure there is a business problem to solve (120, 121, 122 – see FIG 7). ii) Experiment – a skills-based approach will likely not be right for every role in your company. Focus on critical roles, start with a pilot and an executive sponsor (123). iii) Focus on data quality – data is the foundation on which your skills initiative will succeed or fail (124). iv) Get your people analytics team involved – our research at Insight222 finds that 50% of people analytics teams are supporting their company in becoming skills-based (125). v) Communicate the value and use skills as the glue to connect recruiting, learning, mobility, compensation and workforce planning together. FIG 7: Skills-based talent management strategy, business outcomes can guide your actions (Source: Gartner) 8. Turning up the volume on diversity, equity, inclusion and belonging The backlash against DEI is out of sync with the opinions held by the most important set of stakeholders: your employees (126) Some companies – particularly in the US – are backtracking on diversity, equity, and inclusion (DEI) commitments. The Society for Human Resource Management (SHRM) even inexplicably decided to drop the ‘E’ from its IED framework, despite this flying in the face of years of research on DEI in the workplace (127, 128). This is an opportunity for HR to lead the fightback and protect the networks of people engaged in DEI work (129). It was certainly good to hear L’Oreal CHRO Jean Claude Le Grand on the main stage at UNLEASH declare that “DEI is not a trend. DEI is part of our DNA (130).” In 2025, despite fears about what Trump’s second term could mean for DEI (131), let’s hope we hear more chief people officers – especially those based in the US – making similar declarations, and backing it up with action. They will be helping their companies if they do. Firstly, because DEI programs are getting more popular with employees, not less (132) and help organisations attract, retain and engage talent (133). Secondly, research finds DEI, particularly at the leadership level, is connected to financial performance, innovation, and societal impact (134). Thirdly, incorporating DEI practices into core business planning can provide a competitive edge (135). People analytics has an important role to play in measuring DEI efforts and connecting them to outcomes (136) including using advanced analytics to get deeper insights on belonging (137), inclusion (138) and psychological safety (139). Indeed, our own research at Insight222 finds, for the fourth consecutive year, that DEI is one of the top three areas where people analytics is adding the most business value (140). While some companies pause or roll back their DEI programs, those that stay the course and redouble their efforts will drive organisational performance. So, let’s turn up the volume to maximum on DEI in 2025 and beyond. FIG 8: The business case for diversity on executive teams and financial outperformance 9. Advancing social capital If ‘human capital’ is about what an individual knows, ‘social capital’ is about how well positioned that individual is to use what they know to get work done. Social capital represents the next frontier for HR in gaining a deeper understanding of what drives individual, team and organisational effectiveness. As Michael Arena explains, if ‘human capital’ is about what an individual knows, ‘social capital’ is about how well positioned that individual is to use what they know to get work done. (141). The study of social capital is not new. Indeed, the likes of Arena and Rob Cross have been doing this work for decades – and specialist firms such as Worklytics, Cognitive Talent Solutions, Polinode and Innovisor have grown by specialising in this field. But like a lot of the 2025 opportunities presented here, a combination of the pandemic, the rise of distributed and hybrid work, and advances in technology mean that the need for analysing social capital and the ability to do so have increased dramatically. We can see this in the passive element of employee listening programs, which enables organisations to combine active data from surveys with passive data to understand the impact of topics such as hybrid working, meetings, and focus time on outcomes such as wellbeing, collaboration, innovation, productivity and attrition (142,143,144,145,146, 147, 148). Other use cases for network data exist to support work around topics as diverse as: M&A (149), performance (150), DEIB (151, 152), skills mapping (153), team effectiveness (154) and the identification of key influencers (155). For those looking to get started with a pilot, I recommend identifying a specific business problem to solve, getting a business sponsor, keeping the scope manageable, involving your IT and privacy team (and works council if appropriate), and considering partnering with a vendor (156). FIG 9: Organization network analysis can help uncover collaboration within an organization (Source: Deloitte) 10. Enabling the HR professional of the future 41% of chief people officers wish they had had greater depth in people analytics prior to assuming their roles (157) If HR is to become a true strategic partner to the business, then we must upskill ourselves, focusing on developing competencies that create value (158, 159). Chief people officers need to invest in attracting and developing HR professionals with the vision, agility and business acumen to navigate an everchanging landscape, raising the technology and analytical expertise of the function (160). Let’s take one area where the function needs to upskill that I know well from the work we do at Insight222 around improving the data literacy of HR professionals (161). Our research highlights five key skills to elevate data of literacy for HR: i) consulting, ii) influencing stakeholders, iii) interpreting data, iv) building recommendations from insights, and v) storytelling (162). While there has been steady progress with 58% of companies (163) now saying they have a data driven culture in HR (up from 42% in 2021), there is still some way to go – and the opportunities afforded by AI make it even more important for HR professionals to acquire these skills. Tellingly, this is an area of development for senior HR leaders too with 41% of chief people officers wishing they had had greater depth in people analytics prior to assuming their roles (164). With Insight222 research also finding that role-modelling of people data and analytics by the chief people officer and HR leadership team is paramount for the improvement of data literacy across the HR function overall (165), this is an opportunity that chief people officers can ill afford to squander. The HR function will continue to evolve with new roles emerging (166). We need to take the ethos of continuous learning that we advocate for the rest of the organisation and apply it to ourselves in HR. FIG 10: Example of a learning journey Insight222 delivers to HR leaders, BPs and professionals (see here) FIG 11: 13 HR Jobs of the Future (Source: Jeanne Meister) References (1) PwC 27th Annual Global CEO Survey: Thriving in an age of continuous reinvention (PwC 2024) (2) Josh Bersin Why Is It So Hard To Be A Chief HR Officer (CHRO)? (Josh Bersin 2024) (3) 2024 Global Human Capital Trends: Thriving beyond boundaries – Human performance in a boundaryless world (Deloitte 2024) (4) Ravin Jesuthasan, CFA, FRSA Miriam Daucher Alexandra Zea - The future of human resources: Who will care for the human at work? (Mercer 2024) (5) Insight222 Research Homepage (Insight222) (6) Digital HR Leaders Podcast Homepage (Insight222) (7) Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten) Lars Hartenstein Barbara Jeffery Dr. Patrick Simon Working nine to thrive (McKinsey 2024) (8) Jan-Emmanuel De Neve Micah Kaats George Ward Workplace Wellbeing and Firm Performance (University of Oxford 2023) (9) Ellyn Shook Paul Daugherty, Work, workforce, workers: Reinvented in the age of generative AI (Accenture 2024) (10) Dawn Klinghoffer Katie Kirkpatrick-Husk PhD - With Burnout on the Rise, What Can Companies Do About It? (MIT SMR 2023) (11) @Jacqui Brassey Erica Hutchins Coe Martin Dewhurst Kana Enomoto Renata Giarola Brad Herbig Barbara Jeffery, Addressing employee burnout: Are you solving the right problem? 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Here’s What They Found (HBR 2024) (64) Dawn Klinghoffer Karen Kocher Maryleen Emeric Leal Jared Spataro, In the Changing Role of the Office, It’s All about Moments That Matter (Microsoft 2023) (65) Kelly Jones, Unlocking the Power of Hybrid Work: 5 Guiding Principles from Cisco's 3-Year Study Article | White Paper | Executive Summary (66) Michael Arena Andras Vicsek John Golden, Ph.D. Scott Hines, PhD, Cultivating Culture in a Hybrid Context (67) Alexandra Camp Phil Kirschner Laura Pineault Dr. Patrick Simon, Hybrid can be healthy for your organization—when done right (68) Brian Elliott, Return-to-Office Mandates: How to Lose Your Best Performers (MIT SMR 2024) (69) Lynda Gratton - Seven Truths About Hybrid Work and Productivity MIT SMR 2024) (70) Marc Effron , Above the Fray: What We Know About How WFH and Hybrid Affect Work (71) Jonathan Ferrar Naomi Verghese Madhura Chakrabarti, PhD, Harnessing Data for Growth: The Impact of People Analytics (Insight222, 2024) (72) Eric Lesser Peter DeBellis Marc Solow, 2023 High-Impact People Analytics Research (Deloitte, 2024) (73) Shari Chernack Jonathan Gordin, 2024 Voice of the CHRO: Maximizing HR effectiveness in a changing landscape (Mercer, 2024) (74) Lesser et al (see 72) (75) Josh Bersin, People Analytics, A Complex Domain, Is About To Be Transformed by AI (2024) (76) PwC Saratoga, Saratoga Annual Benchmarking Report 2024 (PwC, 2024) (77, 78) Ferrar et al (see reference 71) (79) Dave Ulrich Harrison James, Human Capability and Stakeholder Value: Updating the Organization Guidance System (LinkedIn, 2024) (80) Thomas Hedegaard Rasmussen, Mike Ulrich Dave Ulrich - Moving People Analytics From Insight to Impact (Sage Journals, 2023) (81) Jasmine Panayides, Partnering with Finance to Drive Greater Business Impact with People Analytics (myHRfuture, 2024) (82) Patrick Coolen, The 10 golden rules for establishing a people analytics practice (LinkedIn, 2024) (83) Verghese et al (see 31) (84) Rosenow (see 52) (85) Rob Briner David Green ??, What is Evidence Based HR and Why is it Important? (Digital HR Leaders podcast episode, 2024) (86) Jonathan Ferrar David Green ??, Excellence in People Analytics (Kogan Page Publishing, 2021) (87) David Green ??, A History of People Analytics in Five Ages (LinkedIn, 2021) (88) Jens Stefan Baier, Vinciane Beauchene, Julie Bedard, Jean-Michel Caye, Dr. Philipp Kolo, Fang Ruan, Alexander Alonso, PhD SHRM-SCP, Anthony Ariganello, Kai H. Helfritz, Bob Morton, Chartered CCIPD, Lucas van Wees, Wilson Wong - Creating People Advantage: Set the Right People Priorities for Challenging Times (BCG, 2023) (89) Adam Gibson Nicola Oldroyd, Agile Workforce Planning (Strategic Workforce Planning, Best Practices and Emerging Directions, Oxford University Press, 2024) (90) Baier et al (see 88) (91) Kate Bravery Joana Silva Jens Peterson, 2024 Global Talent Trends (Mercer, 2024) (92) Mark Whittle Liana Passantino, PhD Maggie Schroeder-O’Neal, Top 5 Priorities for HR Leaders in 2025 (Gartner, 2024) (93) Verghese et al (see 31) (94) Laura Wright Shubert David Green ??, How MetLife Made a Success of their Strategic Workforce Planning (Digital HR Leaders podcast, 2022) (95) Alex Browne David Green ??, Nestlé's 4B Methodology to Strategic Workforce Planning (Digital HR Leaders podcast, 2023) (96) Alicia Roach, Chris Hare David Green ??, How to Democratise Strategic Workforce Planning (Digital HR Leaders podcast, 2023) (97) Whittle et al (see 92) (98) Rebecca Thielen and David Green ??, Microsoft's Key to Strategic Workforce Planning Success (Digital HR Leaders podcast, 2024) (99) Jeroen Van Hautte ?, How unlocking skills lies in capturing business data (TechWolf, 2023) (100) Brian Heger, Enabling Strategic Workforce Planning Through Skills, Artificial Intelligence, and Internal Talent Marketplace (Strategic Workforce Planning, Best Practices and Emerging Directions, Oxford University Press, 2024) (101) Jonathan Ferrar, How to Build a Workforce Planning Strategy that Delivers Business Value (myHRfuture, 2021) (102) World Economic Forum and PwC, Putting Skills First: Opportunities for Building Efficient and Equitable Labour Markets (World Economic Forum, 2024) (103) Baier et al (see reference 88) (104) MIT SMR Connections and Mercer, Strategic Shift: Skills-Powered Organizations in the Age of AI (MIT, 2024) (105) Attilio Di Battista, Sam Grayling, Elselot Hasselaar, Till Alexander Leopold, Ricky LI, Mark Rayner and Saadia Zahidi – The Future of Jobs Report 2023 (World Economic Forum, 2023) (106) Anish Lalchandani and David Green ??, The Four Reskilling Principles Every HR Leader Should Know (Digital HR Leaders podcast episode, myHRfuture, 2024) (107) Susan Cantrell, Michael Griffiths, Robin Jones, and Julie Hiipakka - The skills-based organization: A new operating model for work and the workforce (Deloitte, 2022) (108) Allan Schweyer, Barbara Lombardo, PhD, Matt Rosenbaum and Peter Sheppard, The Long but Rewarding Journey to Becoming a Skills-Driven Organization (The Conference Board, 2024) (109) Sandra Loughlin, PhD and David Green ??, Building a Skills-Based Organisation: Lessons from a 30-Year Journey (Digital HR Leaders podcast episode, myHRfuture, 2024) (110) World Economic Forum and PwC (see reference 102) (111) Ravin Jesuthasan, CFA, FRSA and Tanuj Kapilashrami, The Skills-Powered Organization: The Journey to the Next Generation Enterprise (MIT Press, 2024) (112) Tanuj Kapilashrami, Michael Fraccaro, Tamla Oates-Forney, and David Green ??, CHRO Panel: Delivering against the transformation imperative (Gloat, 2024) – see extract (113) Schweyer et al (see reference 108) (114) Nick van der Meulen, Olgerta Tona, and Dorothy Leidner, Resolving Workforce Skills Gaps with AI-Powered Insights (MIT, 2024) (115) Christina Norris-Watts, Doug Shagam, and David Green ?? - How Johnson & Johnson are Scaling Their Skills-Based Approach to Talent (Digital HR Leaders podcast episode, myHRfuture, 2023) (116) Lamoreaux and Green (see reference 34) (117) Bo Cowgill, Jonathan Davis, Pablo Montagnes, Patryk Perkowski and Bettina Hammer - How to Design an Internal Talent Marketplace (Harvard Business Review, 2023) (118) Michael Fraccaro and David Green ??, How Mastercard is Using AI to Drive Employee Success and Leadership Growth (Digital HR Leaders podcast episode, myHRfuture, 2024) (119) Lara Wainwright, Duncan Reynell and David Green ??, How Digital Transformation Fuels Skills and EX at Lloyds Banking Group (Digital HR Leaders podcast episode, myHRfuture, 2024) (120) Marc Effron, Is the Juice Worth the Squeeze? Questions About Becoming a Skills-based Organization (The Talent Strategy Group , 2024) (121) Jaejin Lee, Skill-based Transformation: “Don't Start with Skills, Start with Work!” (LinkedIn, 2024) (122) Gartner, Skills-based talent management strategy, business outcomes can guide your actions – Gareth Flynn, LinkedIn post (Gartner, 2024) (123) Mikaël Wornoo? and David Green ??, How to Use Skills Data to Solve Business Challenges Digital HR Leaders podcast episode, myHRfuture, 2024) (124) Sandra Loughlin, PhD, Seven Elements of Skills Data Quality (LinkedIn, 2024) (125) Verghese et al (see reference 31) (126) Brian Elliott, How to Stand Up When It Comes to Diversity, Equity, and Inclusion (MIT Sloan Management Review, 2024) (127) Enrica Ruggs and Oscar Holmes IV, Why Dropping the E in DEI Is a Mistake (Harvard Business Review, 2024) (128) Josh Bersin, DEI Attacked by SHRM, Civility In The Workplace, And The ROI of AI (Josh Bersin, 2024) (129) Lori Nishiura Mackenzie, Sarah Soule, Shelley J. Correll, and Melissa C. Thomas-Hunt, How DEI Can Survive This Era of Backlash (Harvard Business Review, 2024) (130) David Green ??, Key Learnings from Unleash World 2024 (LinkedIn, 2024) (131) Kenji Yoshino, David Glasgow, and Christina Joseph, What Trump’s Second Term Could Mean for DEI (Harvard Business Review, 2024) (132) Elliott (see reference 126) (133) BCG, It’s Time to Highlight the Business Opportunity of DEI Initiatives (BCG, 2024) (134) Dame Vivian Hunt, Sundiatu Dixon-Fyle, Celia Huber, Maria del Mar Martinez, Sara Prince, and Ashley Thomas - Diversity matters even more: The case for holistic impact (McKinsey, 2023) (135) Quinetta Roberson, How Integrating DEI Into Strategy Lifts Performance (MIT Sloan Management Review, 2024) (136) Lily Zheng, To Make Lasting Progress on DEI, Measure Outcomes (Harvard Business Review, 2023) (137) Shujaat Ahmad, Real Measures that Matter for Real Change on DEIB (Diversity, Equity, Inclusion, and Belonging) (Belong & Lead, 2024) (138) Serena H. Huang, Ph.D., DEI Funding Cuts? You Need Data Analytics and AI More Than Ever (LinkedIn, 2024) (139) Henrik Bresman and Amy Edmondson, Research: To Excel, Diverse Teams Need Psychological Safety (Harvard Business Review, 2022) (140) Ferrar et al (see reference 71) (141) Michael Arena, Leveraging Social Capital (HR Exchange Network, 2018) (142) Klinghoffer et al (see reference 64) (143) Rob Cross, Mike Benson, Jack Kostal, PhD, and RJ Milnor, Collaboration Overload is Sinking Productivity (Harvard Business Review, 2021) (144) Arena et al (see reference 66) (145) Michael Arena, Adaptive Space (McGraw Hill, 2018) (146) Rob Cross, Beyond Collaboration Overload (Harvard Business Review Press, 2021) (147) Rob Cross and Karen Dillon, The Microstress Effect (Harvard Business Review Press, 2023) (148) Michael Arena and David Green ??, What the Impact of Distributed Work on Organisational Networks Tells Us About the Future of Talent Management, (Digital HR Leaders podcast episode, myHRfuture, 2024) (149) Francisco Marin, 5 Ways ONA Creates Value in Mergers and Acquisitions, (LinkedIn, 2020) (150) Maya Bodan, Don Miller, Susan Cantrell, Gary Parilis, and Carissa Kilgour, Harnessing organization network analysis (ONA): Measure workforce performance and optimize strategies (Deloitte, 2024) (151) Inga Carboni, Andrew Parker, and Nan Langowitz, Mapping Exclusion in the Organization (MIT Sloan Management Review, 2021) (152) Jonathan Ferrar and David Green ??, How Can Passive ONA Highlight the Impact of Relationships on Diversity and Inclusion? (MyHRfuture, 2021) (153) Lee (see reference 121) (154) Michael Arena and Philip Arkcoll, Enabling High-Velocity Teams (HR Exchange Network, 2024) (155) Jeppe Vilstrup Hansgaard, How to Rethink Change with the Three Percent Rule (Innovisor, 2019) (156) Manish Goel and David Green ??, The Role of Network Analytics (ONA) in Ensuring Team Collaboration and Well Being (myHRfuture, 2020) (157) Jonathan Gordin, Shari Chernack, Karen Shellenback, and Yamile Bruzza, Evolving the CHRO role in a rapidly changing world of work (Mercer 2023) (158) Dave Ulrich, Update on HR Business Partner Model Continuing Evolution and Relevance (LinkedIn, 2024) (159) Dave Ulrich, Patrick Wright, Mike Ulrich, Erin Wilson Burns, Do you want to be more effective as an HR professional? Here’s how (The RBL Group, 2021) (160) Chernack and Gordin (see reference 67) (161) Insight222 Building a Data-Driven Culture in HR, Immersive Learning Experiences, (Insight222, 2024) (162) Naomi Verghese, Jonathan Ferrar - Upskilling the HR Profession: Building Data Literacy at Scale (Insight222, 2023) (163) Ferrer et al (see reference 71) (164) Gordin et al (see reference 157) (165) Naomi Verghese Why is Role-modelling by the CHRO and HRLT Essential for Building Data Literacy in HR? (myHRfuture, 2023) (166) Jeanne C M. 13 HR jobs of the future (HR Executive, 2024) A selection of other 2025 HR predictions, opportunities and trends There are a plethora of other resources documenting predictions, opportunities and trends for HR and the future of work in 2025 including (in alphabetical order): Alexandra Nawrat, Five New Year’s resolutions for HR leaders in 2025 Andrew Spence, Beyond Prediction: Shaping Your Work Story in an Uncertain World - Andrew walks through seven dominant narratives on the Future of Work - from 'Dataism' to the 'Singularity' via 'Job Destruction.' Daniel Zhao, Glassdoor Worklife Trends 2025 - includes data showing that Gen Z will make up 1 in 10 managers in 2025. Gartner, Top 5 Priorities for HR Leaders in 2025 The Institute for Corporate Productivity (i4cp), 2025 Priorities & Predictions Jen Colletta, 5 CHROs share what’s topping their 2025 HR strategy agenda - includes Melissa Werneck highlighting the HR's role as the ambassador for the responsible implementation of generative AI at work. LinkedIn, Global Talent Trends Dr. Solange Charas and Stela Lupushor, Crystal Balls and Cold Reality: HR Predictions for 2025 Steve Hunt, A guide to HR predictions, trends, and forecasts Visier Inc., Embracing the AI Driven Workforce: 5 Workforce Trends for 2025 Unlock the potential of your people analytics function through the Insight222 People Analytics Program 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 100 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. MEET 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 early 2025: January 21 - People Analytics in Italy: Insights from Research and Practice with Martha Curioni and Aizhan Tursunbayeva, PhD, GRP (VIRTUAL - Register here) January 23 - The Strategic Outlook for People Analytics in 2025 with Ian Cook and Dawn Klinghoffer (WEBINAR - Register here) February 26-27 - People Analytics World, Zürich April 29-30 - People Analytics World, London More events will be added as they are confirmed.
    David Green
    2024年12月19日
  • NACSHR活动
    美国AI与新能源人才趋势深度解析-OCBridge创始人CEO Kirby Deng洛杉矶重磅分享 海外人才分析师及资深招聘专家Kirby Deng,将作为特邀嘉宾出席1月4日的北美华人人力资源洛杉矶论坛。Kirby凭借其多年服务出海企业的招聘经验,结合专业的调研分析结果,将与与会的HR同仁分享《美国AI与新能源人才市场的现状与趋势》的话题。 参会嘉宾不仅可以听到专业的AI和新能源人才市场内容,了解如何专业招聘相应人才的建议和方案,更有机会现场获取专业的报告!想了解相关内容的小伙伴们,一定记得提前报名锁定你的学习席位哦。 报名链接:https://www.nacshr.org/Survey/D1098614-EA75-67CF-6B55-7DEA34FC1C4F 关于Kirby Deng OCBridge创始人CEO, OCInsights创始人,海外人才市场分析师。20余年咨询与招聘行业老兵,专注于用AI与数据技术革新传统招聘行业,对中国企业海外团队搭建有深刻理解/加拿大女皇大学管理学硕士。 关于OCBridge OCBridge是一家领先的AI自动化技术驱动的招聘服务公司,总部位于美国硅谷,在加拿大多伦多,匈牙利布达佩斯与中国北京设有办公室。是字节跳动TikTok全球第一的招聘供应商,主要客户包括亚马逊、比亚迪、宁德时代CATL、台积电、蔚来汽车、小米、小红书、Temu等近百家中美企业。专注于高科技、新能源、电商、物流、制造等行业的各职能、各级别的人才招聘。 报名参会: 2025北美华人人力资源洛杉矶论坛(2025 North American Chinese HR Forum - Los Angeles) 时间:2025年1月4日周六 9:30-16:30 地点:Residence Inn By Marriott Anaheim Brea 报名地址:https://www.nacshr.org/Survey/D1098614-EA75-67CF-6B55-7DEA34FC1C4F   我要分享: (由于分享名额有限,仅面向企业HR开放;如果您是企业HR且渴望构建个人的专业品牌并增强影响力,欢迎填写下列链接申请。) https://nacshr.org/Survey/898DB159-05B5-1C3E-BCD4-9C7A6E324482   赞助合作: Annie Huang (Marketing&Cooperation) 邮箱:nacshr818@gmail.com 微信:hrtechoverseas  
    NACSHR活动
    2024年12月16日
  • NACSHR活动
    【招聘专题】洛杉矶HR岗位专题招聘活动-团结华人HR力量,共筑职业未来 洛杉矶HR岗位专题招聘活动-团结华人HR力量,共筑职业未来 时间:2025年1月4日启动, 持续1个半月 地点:Residence Inn By Marriott Anaheim Brea 主办:NACSHR Chuhai.tips 1月4日,NACSHR (北美华人HR协会) 将在洛杉矶隆重举办 2025洛杉矶华人HR论坛。这是南加州地区华人HR行业的一次盛会,不仅旨在搭建一个学习、分享和交流的平台,更承载着赋能华人职业发展的使命。 此次论坛将邀请南加州地区最优秀的华人HR专业人士齐聚一堂,探讨最新的HR趋势与实践,共话在北美职场中的发展经验与挑战。同时,我们特别策划了一个 洛杉矶HR岗位专场招聘活动,以实际行动支持更多华人在职场上找到属于自己的舞台。 活动亮点 洛杉矶HR岗位专场招聘活动:我们接受年薪超过$60,000的HR岗位信息,以大洛杉矶地区为佳,Remote职位也可,只需岗位真实有效。 双重展示机会:现场提供岗位推介机会(仅需购买参会门票),并同步通过线上平台进行全方位推广,让更多优秀人才看到您的招聘信息。 无额外费用:无论是现场展示还是线上发布岗位,除了参会门票,无其他费用。 如何参与招聘专题活动? 点击链接 https://www.nacshr.org/Survey/284371D0-0BB9-258F-DA2E-159D4DD34AF3,提交HR岗位信息。 购买参会门票即可申请现场推介岗位名额。 如果您仅发布线上招聘信息,完全免费,我们将集中展示您的职位需求,帮助您找到最适合的候选人。 为何参与? 职业新机遇:如果您正在寻找北美职场的HR新机会,这是一次难得的契机。我们为求职者与招聘企业搭建桥梁,助力职业发展。你可以直接报名参加现场活动 提升华人影响力:在竞争激烈的职场中,华人专业人士需要更多的支持和资源。此次论坛和招聘会旨在助力华人HR群体的职业成长,彰显华人在职场的卓越贡献。 招聘特别福利:如果您的企业正在洛杉矶地区招聘HR人才,论坛为您提供一个展示岗位的绝佳机会——我们将设置4个现场招聘展示名额 5分钟,并通过线上推广扩大您的招聘影响力。 作为北美华人HR领域的年度盛会,我们希望通过此次活动,凝聚华人力量,共同推动华人职场生态的建设。 无论是专业交流还是招聘推广,此次论坛都致力于为每一位华人职业人士提供一个互助、共享的桥梁。这不仅是一次职业发展的机会,更是一个增强华人社区归属感和影响力的重要实践。 点击链接报名或发布岗位信息: https://www.nacshr.org/Survey/284371D0-0BB9-258F-DA2E-159D4DD34AF3 让我们携手共创2025华人HR的辉煌未来! 附录 2025北美华人人力资源洛杉矶论坛 信息: 2025北美华人人力资源洛杉矶论坛 2025 North American Chinese HR Forum - Los Angeles 时间:2025年1月4日周六 9:30-17:00   (8点30分开始签到) 地点:Residence Inn By Marriott Anaheim Brea  (180 S State College Blvd , Brea, California, USA, 92821) 报名地址:https://www.nacshr.org/Survey/D1098614-EA75-67CF-6B55-7DEA34FC1C4F 会议费用:150美元/人 12月25日前 现场门票200美元/人
    NACSHR活动
    2024年12月10日
  • NACSHR活动
    2025洛杉矶华人HR新年论坛—2025北美华人人力资源洛杉矶论坛1月4日举办,欢迎参加 北美华人人力资源洛杉矶论坛将于2025年1月4日在洛杉矶隆重举行,这是一场为在美华人HR专业人士量身打造的盛会。论坛将聚焦人力资源管理的多个核心话题,从人才招聘、组织发展、薪酬福利,到多元化与包容性、HR科技等,全面探讨华人HR在职场中面临的独特挑战和机遇。 积极响应南加华人HR的呼声,特别举办本次洛杉矶论坛,诚邀南加的HR童鞋们积极参与! 作为华人HR社群的一员,您将有机会在这里与来自各领域的优秀同行直接交流,拓展专业人脉,为职业发展带来新思路。此外,论坛还特别欢迎HR服务机构、法律、猎头等等领域的专业合作伙伴加入,与参会者深入互动,共同探讨华人HR市场的最新动态与前沿解决方案。 期待您的参与,与我们共同打造一个推动北美华人HR领域发展的高质量交流平台! Stay Together Stay Powerful 立即报名,锁定席位,探索人力资源的无限可能! 2025北美华人人力资源洛杉矶论坛 2025 North American Chinese HR Forum - Los Angeles 时间:2025年1月4日周六 9:30-17:00   (8点30分开始签到) 地点:Residence Inn By Marriott Anaheim Brea  (180 S State College Blvd , Brea, California, USA, 92821) 报名地址:https://www.nacshr.org/Survey/D1098614-EA75-67CF-6B55-7DEA34FC1C4F 会议费用:150美元/人 12月25日前 现场门票200美元/人 会议期间提供咖啡和茶等 注:午餐需自理,届时各小组自行组队 (不含会议午餐) 你为什么不能错过NACSHR峰会: 聆听行业大咖的精心分享: 演讲嘉宾包括成功的企业家、重量级的行业内大咖、优秀的人才战略专家。 他们精通中国以及北美的人力资源市场,乐于分享他们的观点和经验。 确保您能听到行业内最专业成功人士的分享。 学习新知识,掌握新动态: 不论您是职场老将还是新兵,更新知识库是一个永恒的课题。 峰会设置了多种会议形式,各种方式获取行业动态和职场经验。 有行业内大咖的独家分享,帮助您打开新视野,更具竞争力。 职业发展新机遇,更广泛的选择: NACSHR设置了北美地区HR岗位需求,现场更有机会面对面沟通交流。 非正式的会议交流,更有益深入交流,为您的职场铺就成功之路。 南加地区最大的华人HR行业盛会: 聚焦南加华人人力资源行业精英,汇聚南加职场华人力量。 汇集首屈一指的企业家、创业家和行业先锋,打造北美唯一、最大的华人HR盛会。 交流新资讯,结交新伙伴: 探讨行业热点话题,激发创新思维,共同推动HR行业的发展。 利用大会机会结识北美地区的华人HR同仁,拓展个人交际圈。 启发职场新思维,实现职业新突破: 探讨华人管理者如何实现职场发展目标。 设有职场人讨论环节,与嘉宾、行业专家和同行伙伴一起探讨如何在美国职场实现自我价值。 如何可以参与NACSHR峰会? 作为人力资源服务机构,有多种方式可以参与共襄盛举。你可以选择各种赞助形式,如钻石赞助、演讲赞助、设置展位、Demo展示,年度合作等多种方式,具体可以联系我们。 另外如果贵司还没有加入北美华人人力资源服务图谱,点击这里可以加入: https://www.nacshr.org/map/Register/join 参展赞助与合作: nacshr818@gmail.com 或者点击这里:https://www.nacshr.org/Survey/CDBE9324-6291-EB0E-3E50-91532A2A70BB 同时2025年NACSHR 活动计划和NACSHR年度合作伙伴计划也已经推出,欢迎索取加强合作 参与分享演讲:(仅限 inhouse HR) Gavin nacshr818@gmail.com 嘉宾申请链接: https://www.nacshr.org/1732.html The North American Chinese HR Forum will be held in Los Angeles on January 4, 2025, tailored specifically for Chinese HR professionals in the U.S. This forum will focus on multiple core topics in human resource management, ranging from talent acquisition, organizational development, and compensation & benefits to diversity and inclusion, HR technology, and more. It will comprehensively explore the unique challenges and opportunities faced by Chinese HR professionals in the workplace. In response to the strong demand from Chinese HR professionals in Southern California, this Los Angeles forum is specially organized, inviting HR peers from SoCal to participate actively! As a member of the Chinese HR community, you will have the opportunity to engage directly with top professionals from various fields, expand your network, and bring fresh perspectives to your career development. Additionally, the forum warmly welcomes partnerships from HR service providers, legal advisors, recruitment firms, and other specialized partners to interact with attendees and discuss the latest trends and innovative solutions in the Chinese HR market. We look forward to your participation as we work together to build a high-quality exchange platform for advancing the Chinese HR field in North America! Stay Together Stay Powerful Register now to secure your spot and explore the endless possibilities in human resources! 2025 North American Chinese HR Forum - Los Angeles Date: Saturday, January 4, 2025, 9:30 AM - 4:30 PM Location: Residence Inn By Marriott Anaheim Brea (180 S State College Blvd , Brea, California, USA, 92821) Registration Link: https://www.nacshr.org/Survey/D1098614-EA75-67CF-6B55-7DEA34FC1C4F Registration Fees:$150 per person if paid by December 25th, $200 per person for on-site tickets Note: Coffee and tea will be provided during the forum. Lunch is self-arranged, with groups forming to organize meals. Lunch is not included in the event.  
    NACSHR活动
    2024年12月04日
  • Josh Bersin
    How To Make Productivity Soar: Four Stages of AI Transformation We’ve been doing a lot of advisory work on skills and job design and now that AI tools have arrived, we’re reinventing work faster than ever. So let me give you some thoughts on this process, and you can also learn more from my recent podcast. As you know, there are many types of AI business tools: Copilots, Assistants, Agents, Talent Intelligence Systems, and embedded applications. Each of these products are built on an AI-first foundation and they layer on domain expertise, use-case analysis, and iterative design to build smarter and smarter systems. Self-driving cars started as voice assistants, automatic braking, and lane warnings. Now they keep you in the lane and slow your car when the speed limit changes. And soon enough they’ll be driving for us, so we can sit in the back seat and read a book. Our HR Assistant Galileo started as a research and problem solving tool, and it’s rapidly becoming an AI coach, benchmarking tool, recruiting, and change management system. So all these tools go from simple use-cases to deeper applications and autonomy over time. As the tools get smarter and more domain focused we are going to have to rethink our jobs and business processes. And unlike ERP, where we essentially trained people to “adopt” the system, now a lot of the groundbreaking applications come from the bottom up. Individuals will discover capabilities for AI and then apply them in increasingly innovative ways. And over time, as they get smarter, our jobs move more to “supervisors” and “trainers” of AI, not just consumers. For example if our self-driving car took a bumpy route, we may “retrain it” to take a longer but smoother road. As I discuss in the podcast, I believe there are four stages of adoption today. And we’re in the middle of doing all four at the same time. Level 1: Make existing work easier. (Same job, better tools.) This is where we click on the Microsoft Copilot or Zoom or Teams and the system analyzes a meeting, summarizes emails, or writes a document with our help. We do our jobs the same way we did before, but we now have a “super-productivity” tool to make it easier. These “add-on” use cases are emerging everywhere, and they already feel like a commodity. In most cases employees see 10-15% or more improvements here, but life isn’t that much different. And sometimes the tool slows us down (Copilot doesn’t create slides well at all yet) and may actually get in the way. But we can expect this mode to continue and most of us figure this out on our own. Level 2: Major steps eliminated, but the job is the same. (Same job, tools eliminate work.) At level 2 we automated a lot. Software engineers now use copilots to develop 70% of their code, so they’re spending more time testing and prompting the AI. Their individual coding skills may atrophy, but they can now work on more architectural issues. The “job” of software engineer may still be the same, but the output is far greater. So we’re making the same pay, doing the same work, but using highly automated tools. This includes scenarios like chip designers, software engineers, supermarket checkout clerks, nurse scheduling jobs, and even recruiting assistants. Paradox customers, for example, virtually eliminate “scheduling assistants” for recruiting. At this level companies can see 50-75% productivity improvement, and free time to focus on quality management, customer service, and ongoing improvements to the tools. Level 3: Re-engineered work, partnered with agents. (New job, redesigned process, agents automate work.) At level 3 we go further: we re-engineer the process and the work. Imagine how McDonald’s replaced its counter workers with a kiosk, eliminating the “may I take you order please?” role. This took some major design effort but resulted in a whole new set of roles, workflow, and management structure in the restaurants. The “cost per burger” went down, and the customer experience is almost as good (not quite). Here we need to be careful because sometimes the “self-service, AI-enabled” experience doesn’t work. A good example is the supermarket self-checkout. It rarely works well and usually takes longer than standing in line. But it will get better, and the resulting experience is faster throughput, more data (the self-service agent might offer you a discount since it knows your buying history), and far superior employee roles. In level 3 the employees are still involved, and we are more or less “working with the machine,” aiding and supporting the process. Level 4: Autonomous intelligent agents, people training and managing the AI. (New job, redesigned process, people “manage” the agents.) At level 4 we go even further. Imagine an AI recruiter (Paradox does this) that could email a hiring manager and his team, gain feedback and requirements on a job and role, consolidate input, and create a total description. This Agent could then review this job against the company culture and pay policies, compare the job against similar jobs in the external market, and tweak the level, job title, and description to be competitive. And then it could start sourcing, and give the hiring manager and human recruiter a set of candidates ranked by various criteria. That process, which takes dozens of steps for a recruiter, could be fully automated and vastly improved. The Agent could even look at prior hires and get even smarter about who to source based on the success of other candidates. Now the human job is to “train” and “monitor” and “manage” this AI Agent, who has effectively become a digital employee. (Note: Salesforce is doing a terrific job of building this out for sales and service.) The Rise of the SuperWorker Our thesis is that AI is not a “job-replacement” technology, it’s a “SuperWorker empowerment” technology. In other words, most of these scenarios result in higher value jobs, higher pay, and value creation (not cost reduction) in the business. This is happening fast. We’re in the middle of a big study in this area and I’ll be explaining this more in our upcoming 2025 Predictions report. The upside of all this will be new and higher paying jobs, faster response to business change, but a lot of IT, design, and data management to do. But based on our research, this is coming soon.
    Josh Bersin
    2024年12月01日
  • David Green
    David Green:The best HR & People Analytics articles of November 2024 The centrepiece of this month’s edition of the Data Driven HR Monthly is focused around two topics – Agentic AI and Diversity, Equity and Inclusion. One with a technology focus, the other very much a human topic. With Gartner predicting that that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI (up from 0% in 2024), the word on everyone’s lips at UNLEASH World in Paris recently was Agentic AI. But what actually is Agentic AI, and what does it mean for HR technology and HR professionals? Some of the content this month explores these topics. It was also good to hear at Unleash, L’Oreal’s CHRO, Jean Claude Le Grand on the main stage saying in very clear terms that “DEI is not a trend. DEI is part of our DNA”. DEI shouldn’t be used as a political football. But with questions being asked about what Trump’s Second Term Could Mean for DEI, it is important to highlight that DEI is also about business performance. I’ve included two articles this month from Quinetta Roberson (on how to link DEI to business outcomes) and Brian Elliott (on why capitulating to DEI sceptics is counterproductive). When it comes to DEI, now is the time to stand up. This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf Transforming talent strategies with skills-based insights Skills are the currency of the modern workforce. For Workday, unlocking the power of skills was key to transforming their talent strategy—and the results speak for themselves. Workday faced common challenges: fragmented job architecture, costly manual processes, and a need for greater agility to adapt to shifting business needs. By partnering with TechWolf, they implemented a skills-based approach that delivered measurable impact: 32% faster hiring: AI-driven skills matching reduced time-to-hire by more than a third. 85% of the workforce had critical skills aligned to their jobs. Saved 12-18 months of manual effort, creating a standardized framework for decision-making. This partnership didn’t just solve today’s challenges—it prepared Workday for the future. TechWolf’s AI continuously updates skills data, ensuring their workforce strategy remains adaptable in a rapidly changing landscape. Want to know more about Workday’s journey? ? Watch the on-demand webinar: How Workday Leads the Skills Revolution with AI and Data? Explore how a skills-first approach can make a measurable impact on your workforce strategy. To learn more about how TechWolf can help your organization, reach out to us at hello@techwolf.ai or visit the contact page. To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 135,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. November road report After a heavy travel schedule in September and October, November was a quieter month with my sole trip being to Germany for the final European Peer Meeting of 2024 for member companies of the Insight222 People Analytics Program®, which was hosted by Alexis Saussinan and Ruben Groen at Merck Group’s HQ in Darmstadt. During the two days, we learned about how Alexis and Khadija Ben Hammada, the CHRO, partner to deliver business value at Merck. We also learned from Ruben and Mariana Hebborn PhD on how Merck has established its enterprise data foundations, from Dawn Klinghoffer on how Microsoft has reconfigured its people analytics function in the age of intelligent automation, and Adam Tombor (Wojciechowski) on how Julius Bär democratised data across the company. If you are a people analytics leader interested in joining the People Analytics Program, and attending our 2025 Peer Meetings – including in Paris on January 28 and 29, and New York on March 4 and 5, please get in touch. Attendees at the Insight222 Peer Meeting for members of the Insight222 People Analytics Program, hosted by Merck, November 19-20, 2024 Sign-up to receive the 5th annual Insight222 People Analytics Trends research report The 2024 Insight222 People Analytics Trends study will be released publicly on December 9. The report, which is informed by a survey of 340 participating organisations, will uncover how AI, data democratisation, and impactful people analytics strategies drive business value and elevate workforce decision-making. You can pre-register to receive the report one week earlier on December 2 by signing up here or by clicking on the image below. Share the love! Enjoy reading the collection of resources for November 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 October’s compendium. 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. AGENTIC AI AND THE FUTURE OF WORK JOANNE CHEN AND JAYA GUPTA - A System of Agents brings Service-as-Software to life | McKINSEY - Why agents are the next frontier of generative AI With Gartner predicting that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024, this is a topic we all need to learn about. Here are two resources that provide some helpful context. (1) A VC view from Joanne Chen and Jaya Gupta, writing for Foundation Capital, which they present as a “$4.6 trillion opportunity as AI transforms software from tool to worker”, with all the inherent implications that has for the workforce (see FIG 1). Thanks to Paul Daley, Gareth Flynn, Nico Orie, and Hung Lee (I recommend following all of these four people) for all highlighting this excellent article. (2) Writing for McKinsey, Lareina Yee, Michael Chui, Roger Roberts, and Stephen Xu, explore the opportunities that the use of gen AI agents presents including how they could work with potential use cases, the value they can bring, and how business leaders should prepare. FIG 1: A System of Agents (Source: Foundation Capital) JASON AVERBOOK - How AI Agents are Revolutionizing HR—and How to Get Ready | LARS SCHMIDT - Agents of (Massive) Change: How AI Agents Are Poised to Alter Work | JOSH BERSIN - AI Agents, The New Workforce We’re Not Quite Ready For (Agentic AI) | FELIPE JARA - HR - Let's Prepare for a Big Wave of Multi-Agents AI Systems For HR, Agentic AI means shifting away from repetitive administrative tasks to focusing on what truly matters: people. So, what does Agentic AI mean for HR in terms of the HR technology stack, how we deliver services to employees, and HR professionals themselves? Not surprisingly, with all the hype, there is a growing body of resources on these topics. Here are four I recommend to* Data Driven HR Monthly readers: (1) Definitely subscribe to Jason Averbook’s Now of Work Substack. In this blog, he provides five tips for HR to get ready for AI agents including: (i) Upskilling HR teams, (ii) Assessing current processes to identify and prioritise use cases, and (iii) Working on improving data quality. (2) Lars Schmidt’s primer is also highly recommended. It includes a guide to three categories of AI and how they are impacting work: bots, AI agents, and digital workers: “As we weave agentic AI capabilities into our businesses, we will likely deconstruct jobs into individual tasks and then identify the tasks that can be fully automated by these new AI technologies and agents.” (3) Josh Bersin has been all over agentic AI, and has recorded several podcasts on the topic as well as this article, which explains how the “’Large Language Models’ we’ve been learning about for the last two years are now turning into ‘Large Action Models’”, as well as outlining two potential uses cases in L&D and recruiting. As Josh mused in his keynote at Unleash World in Paris, AI is set to dominate the HR Tech stack (see FIG 2). (4) Last but not least, Felipe Jara provides a helpful synopsis of the emerging macro trends in enterprise AI for HR including a summary of the tools that major players like Workday, SAP, ServiceNow and One Model (see FIG 3) are introducing. He also lays out four focus areas of opportunity for HR including guidance on how to prepare your data foundation. FIG 2: AI dominates the HR Tech stack (Source: Josh Bersin at Unleash World, Paris, October 2024) FIG 3: The Evolution of Agents and Enterprise AI (Source: One Model – see here) ANDY SPENCE - The Next Wave of AI: Building Your Own Digital Workforce This is going to be fundamental change in how we interact with AI. It's moving us from being passive consumers of AI tools to active creators of personalized AI assistants. The great thing is we won’t need to be a machine learning expert or a seasoned programmer to get started. Finally on the Agentic AI theme this month, a twist as in an edition of his brilliant Workforce Futurist, Andy Spence writes about Agent Engineering, and how individuals (not just companies): “can create and deploy their own army of AI agents for a wide array of personal and professional tasks.” In his article, Andy breaks down what agent engineering is, the rise of personal AI agents, how to get started with agent engineering (including tools and platforms), and how it might reshape work, learning and our daily lives. FIG 4: Agent engineering framework process (Source: Andy Spence) MIT AND BCG - Learning to Manage Uncertainty, With AI Companies that boost their learning capabilities with AI are significantly better equipped to handle uncertainty from technological, regulatory, and talent-related disruptions compared with companies that have limited learning capabilities. A new study by Sam Ransbotham, David Kiron, Shervin Khodabandeh, Michael Chu, and Leonid Zhukov, Ph.D for MIT Sloan Management Review and BCG finds that companies that combine organisational learning with AI-specific learning, which they define as Augmented Learners, outperform those that apply either approach in isolation or neither (see FIG 5). For example, these Augmented Learner companies are twice as likely to weather talent-related disruptions, demonstrating that they are more resilient to workforce volatility. Thanks to Allison Ryder for highlighting the study. FIG 5: Learning Capabilities Vary (Source: MIT Sloan Management Review and BCG) DIVERSITY, EQUITY, INCLUSION, AND BELONGING QUINETTA ROBERSON - How Integrating DEI Into Strategy Lifts Performance By explicitly linking DEI goals to business outcomes, companies create a clear vision of how diversity adds value. In her timely article Quinetta Roberson presents the findings of a study on diversity, equity and inclusion and company financial performance, and highlights the practices for achieving competitive advantage through DEI. These findings include that a bundled practice approach to DEI amplifies the performance effects of individual practices – see example in FIG 6. Quinetta also presents a three-point blueprint for meaningful action to DEI: (1) Strategically align DEI with business goals. (2) Systemically integrate DEI practices. (3) Make evidence-based improvements. FIG 6: DEI practice bundles (Source: Quinetta Roberson) BRIAN ELLIOTT - How to Stand Up When It Comes to Diversity, Equity, and Inclusion The backlash against DEI is out of sync with the opinions held by the most important set of stakeholders: your employees. In this powerful column for MIT Sloan Management Review, Brian Elliott tackles the growing backlash by some companies in the US on diversity, equity and inclusion. He highlights two dangers of backing away. First, the fact that DEI programs are actually getting more popular with employees, not less, and increasingly view it as a business topic rather than a political one. Second, capitulating on DEI commitments doesn’t settle the issue with employees or customers especially as research by Edelman finds that 76% of employees want companies to recommit not retreat. Elliott also provides guidance on three approaches to having real conversations on this topic, highlighting examples from his experience in leading teams at Google and Slack: (1) Let people voice their concerns about DEI programs. Don’t stifle the conversation or run away. (2) Use the words diversity, equity, and inclusion — not DEI. Explain what the words mean, correct misinformation, and tie them back to business results. (3) Keep in mind that memos don’t create trust; employee engagement does. PEOPLE ANALYTICS PHIL WILLBURN - People Analytics Demystified: A Practitioner’s Handbook Highly effective HR organizations know that every area of the business makes people decisions. The best people analytics teams excel by scaling people insights to all business leaders, ensuring these insights reach those making critical people decisions Phil Willburn, the Head of People Analytics, and his team recently hosted a Peer Meeting for member companies of the Insight222 People Analytics Program® at Workday’s global headquarters in California. During the two days, Phil and his team presented some of the amazing work they are doing with people analytics in areas such as workforce planning, employee experience and hybrid work. Some of the content they presented is in this insightful e-book, which shines a light on how Workday has scaled people analytics in its own company (see FIG 7), their product-oriented and persona-based approach, and provides details on three case studies including how the team provides insights on flexible work and collaboration. FIG 7: People analytics and insights at Workday (Source: Phil Willburn, Workday) COLE NAPPER, JIN YAN, AND BEN ZWEIG - What is happening to people analytics? A 15 Year Trend Part Two | Part Three Following on from Part One of their study on employment trends in the people analytics field over the last 15 years, which I featured in the September edition of Data Driven HR Monthly, Cole Napper, Jin Yan and Ben Zweig return for a second helping – and a third helping with Kristin Saboe, Ph.D. In Part Two, Cole, Jin and Ben turn their attentions to an analysis of the skills of people analytics professionals and the impact of the field during the last 15 years. The insights they uncover include: (1) While people analytics specialists are more likely to hold a doctoral degree (8.2%) than other HR specialists (1.4%), advanced skills (e.g. SQL, GenAI, Python) haven’t been adopted in the numbers expected. (2) There is a correlation between companies with ‘prestigious’ people analytics teams and companies being rated more highly for employee sentiment (see FIG 8). They also provide three recommendations for the field moving forward: (1) Add real value and break the cycle. (2) Mature the people analytics function. (3) Let’s get back to growth. In Part Three, Kristin takes the lead to shine the lens on how the composition of government people analytics jobs have changed over the last 15 years. FIG 8: Companies with a prestigious people analytics team are rated higher by employees (Source: Revelio Labs) ERIC LESSER, ERIC BOKELBERG, AND DEVON JOHNSON - Powering people analytics through HR data: How to strategically integrate data as a product Data products help analysts better grasp what data is available, where it comes from, how it can be used and how to put it together to gain insights effectively. When a new business question arises, the needed data is often already available in a data product, making it easy to gather the correct information. Eric Lesser, Eric Bokelberg, and Devon Johnson from Deloitte provide a helpful breakdown on how to implement data products through applying key principles of product management across the data lifecycle, namely: ownership, reuse, quality, cataloguing and security. They outline three steps to get started with data products: (1) Educate HR and IT teams about data products; (2) Focus on impactful use cases (“Instead of creating numerous data products, concentrate on those that effectively address pressing business needs”); (3) Establish a strong governance model. CHRISTOPHER ROSETT – Reporting, Analytics, Research, Statistics (RARS) | SERENA HUANG - The Future of Work: Human Skills in the Age of AI | GIOVANNA CONSTANT – The 10 Commandments for every People Analytics professional | MITCH MIHANOVIC – People Analytics Lessons | WILLIS JENSEN - An Unusual Application Using Organizational Network Data | A.J. TUFTE – Making Workforce Planning Strategic: Three Vs | BEN TEUSCH – A reflection on six years at Facebook The true value of people analytics lies in translating insights into actionable strategies and programs that enhance employee engagement and drive business performance. In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Seven are highlighted in this month’s edition. (1) Christopher Rosett outlines the RARS (Reporting, Analytics, Research, Statistics) model he uses with his analytics teams and customers at Amazon (see FIG 9). (2) Serena H. Huang, Ph.D. presents seven human skills required in the age of AI (see FIG 10). (3) Giovanna Constant presents her ten commandments for people analytics professionals including i) You shall worship data quality, ii) You shall train HR teams in data literacy, iii) You shall not create confusing dashboards. (4) Mitch Mihanovic shares three things he has learned from working in the people analytics field, including: “The true value of people analytics lies in translating insights into actionable strategies and programs that enhance employee engagement and drive business performance.” (5) Willis Jensen walks through a case study of using ONA to support compensation decisions for employees. (6) A.J. Tufte breaks down his Three Vs of Strategic Workforce Planning: i) Value (“what value does the work provide”) ii) eVolution (“how does the work need to change”), and iii) Volume (“how much of the work is needed”). (7) Finally, Meta has made a number of layoffs including from its people analytics team in the last few weeks. One of those impacted is Ben Teusch, who penned a reflection on his six years with the company. Wherever Ben decides to go next will be very fortunate to land such a talented practitioner. FIG 9: The RARS model (Source: Christopher Rosett) FIG 10: Seven human skills required in the age of AI (Source: Serena Huang) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE RAVIN JESUTHASAN, MIRIAM DAUCHER, AND ALEX ZEA - The future of human resources: Who will care for the human at work? As the trusted link between organizations and their employees, HR can lead the charge in creating fulfilling workplaces and helping people thrive in an era of transformative technological change, ensuring that AI serves humanity, not the other way around. Ravin Jesuthasan, CFA, FRSA, Miriam Daucher, and Alexandra Zea present a new paper from Mercer on the future of human resources in the fifth industrial revolution. They paint a compelling evolution for the function to move beyond being stewards of employment to being stewards of work, and ultimate being stewards of humanity through (1) Ethical use of AI. (2) Safeguarding ESG. (3) Preserving human well-being. FIG 11: HR’s changing role through the history of industrial revolutions (Source: Mercer) ASAF JACKOBY - Work, Workforce, and Workplace: The Role of CHROs in Leading Change As Asaf Jackoby, VP HR for Amdocs, writes, chief human resources officers have a pivotal role to play in transforming the landscape of work, workforce and workplace. His article presents a framework (see FIG 12), and provides detail about each of the three categories and the individual components within it: (1) The Work – AI will transform the way we define work, (2) The Workplace – Creating an inclusive and adaptable environment, and (3) The Workforce – who does the work. FIG 12: Source – Asaf Jackoby WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS BRIAN FISHER, KATE BRAVERY, KATIE JENKINS, AND LAUREN ROBERTSON - Measuring skills in the age of agile work A helpful primer from the Mercer team of Brian Fisher, Kate Bravery, Katie Jenkins, and Lauren Robertson on three ways to ascertain employee skills (see FIG 13): (1) Inferred skills (“The starting point for skills measurement”), (2) Rated skills (“The employee and manager view of skills proficiency”), and (3) Validated skills (“Approaches for validating behavioural and technical skills”). As the authors highlight: Although each method of collecting skills data has its respective merits, methods can also be combined to paint a more complete skills picture that strengthens talent decision-making and can better inform business strategy. FIG 13: Three components of a skills measurement strategy (Source: Mercer) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING MICHAEL ARENA AND AARON CHASAN - Fostering Friendships: The Game Changer in Employee Retention One study found that an employee’s position in the network can predict turnover with 85% accuracy. This is especially true for friendship networks. Research consistently finds that those with friends at work are far more likely to stay. Indeed, in their article for HR Exchange Network, Michael Arena and Aaron Chasan share the results of a study with a technology company, which found that there was a 44% drop in turnover rate for those who went from 0 friends to just 1. They also provide guidance on how organisations can create a climate for friendships to blossom: (1) Create opportunities for employees to connect; (2) Actively encourage friendships among colleagues; (3) Evaluate the level of connections in the workplace; (4) Create an environment of belonging. KENNEDYFITCH – Employee Experience Report 2024: Humanized Growth In A Digital Era You need data to prove your cause, prove your arguments and prove your impact. This is a highly impressive report on the current state and long-term vision for employee experience by the team at KennedyFitch including Joan Beets, Frank van den Brink, Sander de Bruijn and Patrick Coolen. Highlights include: (1) Analysis on the current state of EX as it relates to maturity (see FIG 14), tools, skills, team responsibilities, leadership buy-in and main obstacles. (2) Insights into the goals, planned skills/tools development and anticipated challenges for the next 12 months. (3) Exploration of how AI and other factors will transform EX and HR. (4) Case studies from EX trailblazers including Sebastian Knepper (Deutsche Telekom), Vasuki Ranganath (Volvo), Lea Mikus (Celonis), Andreas Mayer (ING), Volker Schrank and Joachim Decock (Mondelez), and Ruth Bielderman (Royal BAM Group). An absolute must-read report for anyone working or interested in employee experience. FIG 14: EX Maturity Model (Source: KennedyFitch) DAVE ULRICH AND WENDY ULRICH - What Is the Next Step for Employee Experience? The Why, What, and How of Hope Hope is an emerging fifth wave of managing mental health challenges that shape employee experience which in turn impacts stakeholder value. The cost of mental illness and the related consequences is projected to be $6 trillion globally by 2030. As Dave Ulrich and Wendy Ulrich write, in the workplace, mental health often connects to the employee experience, which in turn impacts stakeholder and business outcomes (see FIG 15). The article then identifies hope as a new dimension of the employee experience (see FIG 16), and details six principles of what hope means in an organisational setting, so that organisations with hope: (1) Transform the future, (2) Are based in healthy relationships and conversation, (3) Ensure efficacy, (4) Rely on realistic optimism, (5) Empower people, and; (6) Address personal needs. Finally, Dave and Wendy offer seven skills for leaders to master to turn principles into actions that increase hope. An important and timely article. FIG 15: Logic of Mental Health, Employee Experience and Stakeholder Value (Source: Dave Ulrich and Wendy Ulrich) FIG 16: Evolution of Ideas Related to Employee Experience (Source: Dave and Wendy Ulrich) LEADERSHIP, CULTURE, AND LEARNING McKINSEY - Go, teams: When teams get healthier, the whole organization benefits Team effectiveness is less art, more science A new McKinsey study identifies the elements of team effectiveness that have the most significant impact on team performance: trust, communication, innovative thinking and decision-making. The authors debunk several other myths about how teams operate, and highlight the importance of context and how it determines the behaviours that matter most for a team to function effectively. A framework is presented that categorises teams into three archetypes: cycling, relay and rowing teams, which also highlights the top performance drivers for each (see FIG 17). Finally, the article details four actions for leaders to help their teams succeed: (1) Take a hard look in the mirror. (2) Make sure the changes stick. (3) If you are a team leader, don’t stand in the way of progress. (4) Embed team effectiveness in the organization’s DNA. (Authors: Aaron De Smet, Gemma D'Auria, Liesje Meijknecht, Maitham Albaharna, Anaïs Fifer, and Kimberly Rubenstein, PhD) FIG 17: Three archetypes of teams (Source: McKinsey) ALLAN H. CHURCH AND JANINE WACLAWSKI - Humpty Dumpty and the 9-Box: Five Steps to Putting it Back Together Again Using the Science of Leadership Potential (The 9-box) should be about understanding the consistency between what the organization thinks of its talent (designated potential) and what the data indicates against a validated predictive model (assessed potential). As Allan Church, Ph.D. and Janine Waclawski outline in their revealing article, while the 9-box model is commonly used talent management tools many companies struggle to use it effectively. Church and Waclawski believe this is because most organisations are doing it wrong, explaining the tendency to fall into “the performance-potential paradox”. They ten outline five steps towards having a best-in-class 9-box: (1) Throw Out Performance Ratings – They Should Be a Gatekeeper, not a Predictor. (2) Keep Your Current Talent Framework and Embrace it – But Re-label it as Designated Potential. (3) Introduce the Science of Leadership Potential – By Using Formal Assessments & Data (see the New 9-box in FIG 18). (4) Don’t Box Yourself In – Determine the Right Size Grid for Your Organization. (5) Use Data to Diagnose the Gaps – Between Designated Potential and Assessed Potential. FIG 18: Leadership potential for the new 9-box (Source: Allan H. Church and Janine Waclawski) 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 November that I recommend readers delve into. In a slight change-up this month, I’ll start with a couple of pieces that analyse the people analytics and wider HR technology market: DAVE ZIELINSKI - How GenAI is Transforming People Analytics Software – Analysis by David Zielinski for SHRM on how GenAI is democratising the use of people analytics and lowering the barrier to entry, which features insights from Stacia Sherman Garr, Jeremy Shapiro, Lydia Wu, and Sameer Raut. EKTA LALL MITTAL - The Realities of HR Tech Part 1 | Part 2 - In her column for Transform, Ekta Lall Mittal provides insights and guidance on the HR technology market. In Part 1, she looks at how to get started and ways to connect business and people strategy with technology. In Part 2, Ekta provides guidance on how to conduct a current state analysis of your tech stack. LISA SIMON - The Ripple Effect of Female Leadership in Data – Lisa K. Simon, Chief Economist at Revelio Labs, highlights some of the main findings from a report on the Career outlook for women in D&A and AI, she co-authored with Asha Saxena and Robert Parr. One of these was that companies with more women in senior executive data roles have higher female representation in data roles across the organisation. The difference is greatest for junior roles (see FIG 18). FIG 18: The more woman in leadership, the more women overall (Source: Revelio Labs) VISIER – Embracing the AI Driven Workforce: 5 Workforce Trends for 2025 – It’s that time of year when we start hearing the word ‘trends’ a lot, and Visier Inc. is one of the first out of the traps with their five workforce trends for 2025. It’s an insightful read featuring contributions from the likes of Angela LE MATHON, Jill Larsen, Keith Bigelow, and Dawn Klinghoffer. FIG 19: The ABCDs of Creating a Future-Proof Agile Workforce (Source: Visier) DIRK JONKER - Finance and Human Resources: A Strategic Partnership for Business Growth – Crunchr CEO Dirk Jonker explains why and how HR and Finance should work together, and paints a vision where: “Together, HR and finance can unlock a future where employees are seen for what they truly are: a company’s most significant (and measurable) asset.” FRANCISCO MARIN - The Shift from Authority to Influence: Power Distribution in a Network-First Future of Work – Francisco Marin of Cognitive Talent Solutions continues his excellent series of articles on moving to a network-first approach by analysing the shift of power from authority to influence. PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): BROOKE WEDDLE, BRYAN HANCOCK, AND WENDY MILLER - Why being in HR is getting tougher—and how to break through – In a fascinating episode of McKinsey Talks Talent, Brooke Weddle, Bryan Hancock, and Wendy Stratman Miller join host Lucia Rahilly to discuss the dynamics that are making HR tougher than ever—as well as what leaders can do differently to begin turning morale around. CONNIE NOONAN HADLEY - Make it Safe for Employees to Speak Up – Connie Noonan Hadley guests on Steelcase’s Work Better podcast with host Chris Congdon to discuss why and how managers should encourage employees to speak up about mistakes, ideas, and questions – essentially by creating a psychologically safe work environment. DANIELLE BUSHEN – Navigating Pay Transparency with People Analytics - Danielle Bushen, Global Head of People Analytics Data Governance and Stewardship at Sanofi, joins David Turetsky on HR Data Labs to explore how people analytics intersects with compensation, how to modernise compensation through data-driven practices, and the importance of pay transparency. MATTHEW HAMILTON - How To Master People Analytics and Deliver Insights That Actually Work - Matthew Hamilton, VP of People Analytics & HRIS at Protective Life, joins host Christopher Rainey on HR Leaders to discuss the challenge of delivering actionable insights to leaders -  the last mile problem - and the importance of storytelling with data. PAUL RUBENSTEIN AND JOSH BERSIN - What’s Holding Back People Analytics? – Josh Bersin and Paul Rubenstein, Chief Customer Officer at Visier, discuss how the people analytics market has evolved, and why only around 10% of People Analytics teams deliver strategic business value. VIDEO OF THE MONTH LEENA NAIR – View From the Top Leena Nair is that rarity of a chief people officer that rises to the role of CEO having transitioned from CHRO at Unilever to CEO at Chanel in January 2022. In this interview with Ayesha Kamik as part of Stanford’s View From the Top series, Leena shares her inspiring journey with insights from her life and career, including her time in human resources, how to build company culture, her leadership principles, how to break barriers and her thoughts on AI and the future of work. BOOK OF THE MONTH RUSSELL KLOSK – Talent Prophecy: Creating Strategic Impact Through Workforce Planning and Talent Strategy In Talent Prophecy, Russell Klosk (智能虎) provides a comprehensive guide to workforce planning, which should have particular resonance for HR professionals involved in workforce planning activities. The book provides readers with practical and accessible tools to: (1) Analyse your current workforce capabilities. (2) Predict future talent needs across various business scenarios. (3) Create adaptive strategies for talent acquisition and development. (4) Leverage AI and emerging technologies. (5) Build stakeholder support for talent initiatives. RESEARCH REPORT OF THE MONTH ZHEYUAN (KEVIN) CUI, MERT DEMIRER, SONIA JAFFE, LEON MUSOLFF, SIDA PENG, AND TOBIAS SALZ - The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers This paper explains the findings from a study to evaluate the impact of generative AI on software developer productivity through analysing data from three trials conducted at Microsoft, Accenture, and an anonymous Fortune 100 electronics manufacturing company. The researchers ( Kevin Zheyuan Cui, Mert Demirer, Sonia Jaffe, Leon Musolff, Sida Peng, and Tobias Salz) found that introducing a generative AI tool to software developers did increase productivity, with less-experienced developers showing higher adoption rates and greater productivity gains. You can also read this summary of the paper by Dylan Walsh: How generative AI affects highly skilled workers. FROM MY DESK November saw the final two episodes of Series 42 of the Digital HR Leaders podcast, sponsored by Workday (thanks to Sophie Barnes and Jennifer Neumann), an article rounding up the key learnings from series 42, and the first two episodes of Series 43, sponsored by TechWolf (thanks Maaike Standaert, Mikaël Wornoo?, Andreas De Neve ?). ANISH LALCHANDANI - The Four Reskilling Principles Every HR Leader Should Know - Anish Lalchandani, Global Head of Talent Management at Maersk, joins me to discuss insights from his book, The Skills Advantage, including why reskilling should be a key component of talent management strategy, the four cornerstones of reskilling, and key metrics to tie reskilling efforts to business value. LARA WAINWRIGHT AND DUNCAN REYNELL - How Digital Transformation Fuels Skills and EX at Lloyds Banking Group - Lara Wainwright, Product Owner and Lab Lead, and Duncan Reynell, Group Talent & Development Director, join me to share how digital transformation is driving Lloyds Banking Group’s shift to a skills-based organisation. SANDRA LOUGHLIN - Building a Skills-Based Organisation: Lessons from a 30-Year Journey – Sandra Loughlin, PhD, Chief Learning Scientist, discusses the lessons EPAM Systems has learned over its 30-year skills journey and how organisations can apply these insights to their own skills transformations. KEITH SONDERLING – Responsible AI in HR: The Ethical Roadmap for Success – For four years, Keith Sonderling was the Commissioner at the United States Equal Employment Opportunity Commission (EEOC). During this time, Keith openly engaged with the HR tech and people analytics community on AI in HR. In this episode, recorded just before Keith’s term ended, we reflect on what AI in HR means for organisations and technology firms, as well as have a broader discussion on discrimination in the workplace. DAVID GREEN - How can organisations use workforce data to drive culture, inclusion and engagement? - A round-up of the key discussions and learning from series 42 of the Digital HR Leaders podcast featuring: Michael Fraccaro, Michael Arena, Jason Scheckner, Anish Lalchandani, Lara Wainwright and Duncan Reynell. SIGN UP TO PARTICIPATE IN THE PEOPLE ANALYTICS NETWORK CENSUS This is a great initiative by Andrew Pitts, Richard Rosenow, Matthew Diabes, PhD, and Stephanie Murphy, Ph.D. Together they have launched the People Analytics Network Census (PANC), which aims to map and understand the global people analytics network, tracking connections across professionals in our field through a single active organisational network analysis. You can find out more about the initiative and sign up to PANC here. LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 475 roles, and has now been developed into a LinkedIn newsletter too – you can read the latest edition here. THANK YOU Richard Rosenow for including the Digital HR Leaders podcast episodes with Craig Starbuck, PhD and Rob Briner on his Election Day Playlist Veronika Birkheim for including me on her list of experts on LinkedIn to read, listen and follow Thomas Kohler for including the Digital HR Leaders podcast episode with Anish Lalchandani in his excellent list of HR resources Nick Broughton for including me on his list of top 40 voices in the remote work industry. Wolfgang Brickwedde for including me in his article on the Recruiting Tech Highlights of Unleash 2024 OpenHR UK for including the Digital HR Leaders podcast as one of four must-listen to podcasts, along with podcasts by Matt Alder Ben Geoghegan and Lucinda Carney ? Finally, a huge thank you to the following people who either shared the October edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Scott Rogers Tobias W. Goers ツ Jordan Hartley David McLean Jaqueline Oliveira-Cella Tim Sharp Delia Majarín Andreea Lungulescu Dart Lindsley Sharna Wiblen Amardeep Singh, MBA Selina Yankson Olivier Vidal Lukasz Sowinski Lenka Máchová Nick Lynn Russ Fatum BS, BS, MSA, MBB, PMP Tanguy Dulac Aurélie Crégut Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Stephanie Denino Ian Grant FCIPD Purvi Vasani Lewis Garrad Rafael Senise David Simmonds FCIPD William Thai, Ph.D. Olivia Li Md Shahid Ullah Bhuyan Facundo Tomás García Bob Pulver Corine Boon Alessandro Cosentino Jose Luis Chavez Vasquez Kalifa Oliver, Ph.D. Samir Murgude , SPHR®, SHRM-SCP, IHRP-SP Jayashree Shivkumar Dr. Jeeta Sarkar Abbie Gnewuch Zachary Schurmann ?️? Aurangzeb Soharwardi CDIS. CHRP. SAP HCM Aravind Warrier Catriona Lindsay Luis Maria Cravino Kerron Ramganesh Ralf Buechsenschuss David Hodges Ouarda Guergour Marijana Brasiello, MHRM Malgorzata Langlois Amit Mohindra Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Lore Muraina, PMP, PMI-ACP, CPP Alan Susi Yuyan Sun Sven Hultin Greg Pryor Kathleen Kruse Jaap Veldkamp Aleksandra Borisova, RODP Hrvoje Bulat Jaejin Lee Wayne Tarken Caitie Jacobson Nathalie Kumbrink, PHR®, SAFe® APM Melissa Arronte Nicole Lettich Nils Bunde Mia Norgren Shane Walsh Irina Villacreces, M.S., SPHR, PMP Jaana Saramies ? Stacy Davies Ruben Santos Justin Shemeley Richie Citta Erin Gerbec, Ph.D. Mircea-Stefan Glavici Bri Klein Indre Radzeviciute Alex Paton Ramesh Karpagavinayagam Megan Cox (née Phelps) Natasha Ouslis, PhD Tina Peeters, PhD Joseph Frank, PhD CCP GWCCM Lucie Vottova John Fisher Whitney Giga, PHR, SWP Graham Tollit Dave Millner Nicole Davis Barry Swales Dr. Sebastian Projahn David Littlechild Tatu Westling Philipp Heller Blaine Ames Shujaat Ahmad Irene Wong Greg Newman Adam McKinnon, PhD. Kanwal Safdar Irada Sadykhova Hanadi El Sayyed Tanya Arrowsmith Nabil Dewsi Henrik Håkansson Lina Makneviciute Alejandro Giordanelli Andras Szabo Radka Krempova David van Lochem Andreas Maroulis Ohad Geron Placid Jover Sydney Dolanch Isabel Naidoo Rob Kok Kimberly Rose Nick Hayter Annia Balcazar Cabana Anna A. Tavis, PhD Claire Masson Agnes Garaba Sebastian Kolberg Sabine Bothe Sophia Huang, Ed.D. Mariami Lolashvili Philip Arkcoll Erik Otteson Alexandra Nawrat Kristina Schoemmel Craig Starbuck, PhD Maria Alice Jovinski Toon van der Veer Petra Noble Julia Brandon, PhD Aritra Majumdar Scott Nemeth Shannon Rutledge Gal Mozes, PhD Ken Clar Kelly Monahan, Ph.D. Jacob Nielsen Olimpiusz Papiez Nick Hudgell Sonia Mooney Marcela Mury Christopher Cerasoli Dr. Peter Schulz-Rittich Ludek Stehlik, Ph.D. Craig Forman Kelly Satterfield Perri Ma Anna Gullstrand Victoria Holdsworth Joanna Bloor Pietro Mazzoleni Andrés García Ayala Kristhy Bartels Tim Peffers John Golden, Ph.D. Nicole Hazard Søren Kold Kirsten Edwards Doug Shagam Geetanjali Gamel John Gunawan Jack Liu UNLOCK THE POTENTIAL OF YOUR PEOPLE ANALYTICS FUNCTION THROUGH THE INSIGHT222 PEOPLE ANALYTICS PROGRAM At Insight222, our mission is to make organisations better by putting people analytics at the centre of business and upskilling the HR profession The Insight222 People Analytics Program® is your gateway to a world of knowledge, networking, and growth. Developed exclusively for people analytics leaders and their teams, the program equips you with the frameworks, guidance, learnings, and connections you need to create greater impact. As the landscape of people analytics becomes increasingly complex, with data, technology, and ethical considerations at the forefront, our program brings together over one hundred organisations to collectively address these shared challenges. Insight222 Peer Meetings, like this event in London, are a core component of the Insight222 People Analytics Program®. They allow participants to learn, network and co-create solutions together with the purpose of ultimately growing the business value that people analytics can deliver to their organisations. If you would like to learn more, contact us today. 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 100 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. MEET 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 and early 2025: December 5 - Visier Outsmart Local - Building Your People Data Strategy, London December 10-12 - Workday Rising EMEA, Amsterdam January 23 - The Strategic Outlook for People Analytics in 2025 with Ian Cook and Dawn Klinghoffer (WEBINAR - Register here) February 26-27 - People Analytics World, Zürich April 29-30 - People Analytics World, London More events will be added as they are confirmed.   原文来自:https://www.linkedin.com/pulse/best-hr-people-analytics-articles-november-2024-david-green--aofje/
    David Green
    2024年12月01日
  • David Green
    HiBob:HCM 市场中快速成长的新领导者 HCM 市场规模达 110 亿美元,为各种规模的公司提供人力资源和薪资平台。知名领导者(Workday、SAP SuccessFactors、ADP、UKG、dayforce)都是对该领域了解多年的高管。由于这些公司在市场上拥有多年的经验,他们拥有成千上万的客户,因此他们了解全球人力资源部门、经理和薪资团队的复杂需求。 然而,尽管市场具有传统性质,但颠覆正在发生。公司对这些系统的可用性、缺乏灵活性以及其架构限制的脆弱性感到沮丧。在大多数情况下,当你建立人力资源系统时,你会对职位层次、职位级别、薪资等级和组织结构做出许多决定。一旦你做出了这些决定,它们就很难改变。这意味着随着时间的推移,系统变得越来越难用,因此公司在上面叠加了几十种人才管理工具。 这些系统对于员工来说也很难使用。这些系统最初是为人力资源部门开发的,现在大多数系统都有移动界面和门户供管理人员和员工使用。由于 Agentic AI 的出现,大多数系统都在构建聊天前端。尽管如此,其复杂程度很难掩饰,因此许多公司对员工“隐藏”了 HCM,并在其上构建了复杂的门户。ServiceNow 的迅猛发展就是明证,它推广了员工体验层的概念,可以保护员工免受 HCM 的困扰。 大约十年前(2017 年),我遇到了 Ronni Zehavi,他是一位经验丰富的科技企业家,也是当时 HiBob 的新任首席执行官。他的愿景是建立一个“人员管理”系统,该系统不是为后台办公室设计的,而是为经理和员工设计的。我们广泛讨论了最初的想法,即打造“人力资源的 Instagram”——一个如此优雅和美丽的东西,任何人都能立即看到它的价值。 我警告 Ronni,这个问题比想象的要复杂得多。他听了我的劝告,但还是继续前进,为 Bob 构建了一个具有现代、优雅、引人入胜界面的 HCM 平台,使 Bob 的“人人享有 HCM”愿景成为现实。 与我看到的许多 HCM 产品不同,Bob 的使用案例始于员工和经理。因此从一开始,该系统就旨在帮助领导者管理他们的团队,提供易于使用的工具,用于创建个人资料、日历、团队员工识别、组织结构图、通信和警报。用户体验至今仍然令人兴奋,它有趣、易于理解,并且以通用的商业语言编写。 (顺便说一下,HiBob在 G2 中的评分为 4.5 ,这对于企业软件来说是一个很高的评分。) 虽然前端看起来“简单”,但该系统从一开始就具备企业功能。虽然 HiBob 最初将其出售给规模较小的科技公司,但他们很快意识到其最初的核心市场更大,几乎涵盖了以人为本的行业中所有快速增长的公司。 VaynerMedia 和 Fiverr 等公司招聘人数众多,非常注重文化和参与度,人力资源团队人手不足。Bob 非常擅长薪酬管理、分析、DEI 和绩效管理,这些都是所有公司都需要的东西,但很少有公司愿意购买每个领域的专业产品。 (几年前,我们 Josh Bersin 公司实施了 Bob HCM 平台,基本上在一个周末就完成了配置。) 随着公司业务的增长,对功能的需求也随之增长。因此,在 2023 年和 2024 年,HiBob 推出了 Bob Hiring、其 ATS(申请人跟踪系统)、Bob Learning、其 LMS 和 UK Payroll,为传统的薪资运营提供了一种现代化的方法。通过今年早些时候对Pento 的战略收购(Ronni 的团队是一家技术巨头),HiBob 获得了提供灵活薪资方法的技术,并计划在 2026 年提供美国薪资服务。 在此过程中,HiBob 始终专注于“企业软件消费化”,成为少数成功破解用户体验密码的 SaaS 公司之一。作为一名用户,我不得不说它不仅功能丰富,而且使用起来真的很愉快。 让我来谈谈使命。大多数 HCM 供应商一开始都关注员工,但很快就被拖入人力资源的神秘需求中。即使是世界上最大的 HCM 供应商 ADP(以客户数量衡量),也不得不强迫自己随着时间的推移构建越来越易于​​使用的前端。正如您所见,HiBob 仍然认为 Bob 是一个“业务增长平台”,而不是一个“管理人力资源”或“向领导者提供可操作的人力资源数据”的系统。(Rippling 也是这么认为的。) 这让 HiBob 实现了快速增长,我称之为“颠覆者”地位。其他颠覆者包括美国的 Rippling 和 Lattice、亚洲的 Darwinbox 以及薪资供应商(Paychex、Paycor、Paylocity、Gusto 等),它们各自都在构建 HCM 平台。 当然,我们不得不提 ADP,它仍然以自己的方式具有颠覆性和创新性。ADP的 Lyric HCM建立在高度自适应的架构之上,拥有市场上最先进的灵活性,但它针对的是大型分布式企业。 这个领域的每个供应商都很聪明、创新且充满热情。UKG 推出了整个代理 AI 平台,任命了一位新 CEO,并致力于让小时工雇主成为最佳工作场所。Workday继续创新,将 AI 注入其平台并与专注于行业的顾问合作。而 SAP SuccessFactors推出了我目前见过的最先进的 AI 系统(Joule),集成了所有 SAP 应用程序。 尽管进行了所有这些创新,HiBob 仍在继续发展。去年,该公司增长了 40%,目前拥有 4,200 多名客户和 1,100 名员工。随着公司扩大产品和销售团队,它现在看到了成为“您一直想要的 HCM 平台”的机会。换句话说,他们正在瞄准快速增长的中型公司,在这些公司中,Workday 和其他传统企业解决方案过于复杂,无法证明其成本合理性。 HiBob 将其称为“现代企业”,这一定位很有道理。Workday 是 2000 年代中期“第一个采用云计算”的公司,并确立了其作为该代技术的“现代系统”的地位。HiBob 认为,其高度灵活的平台、快速的价值实现时间和类似 Instagram 的用户界面使其有可能赢得基于当今架构的“下一代快速增长公司”。 (即将推出的 AI 功能令人印象深刻:招聘电子邮件生成器、智能课程生成器、能力库生成器、工作目录构建器、调查构建器以及经理和员工自助服务工具。) 虽然所有这些都是有道理的,而且很少有 HCM 供应商以每年 40% 的速度增长,所以我认为故事归根结底还是执行力。Rippling是一个了不起的创新者,拥有我见过的最积极的销售团队之一(我经常接到他们的电话)。ADP 是各方面的创新者:工资服务、数据和基准测试、AI 界面以及最终将基于Lyric HCM 的一系列底层平台。Workday 正在与集成商合作,并为较小的公司重新包装其系统。而像 UKG 和 dayforce 这样的供应商正在加倍投入先进功能来吸引这个市场。 就 HiBob 而言,我认为其活力、激情和快节奏的工程文化发挥了一定作用。Ronni 继续领导该组织,他拥有精明的商业领导力、丰富的技术经验和不断学习的谦逊态度等独特优势。我认为这是一家值得关注的公司,在任何像 HiBob 这样充满活力的市场中,HiBob 的成功都将推动其他公司更快地发展。
    David Green
    2024年11月24日
  • Josh Bersin
    HR:清醒吧!员工更信任AI而非HR 多年来,我一直是HR的支持者和朋友。在与HR团队的每次交流中,我都对他们的热情、投入和善意印象深刻。然而,尽管我们尽了最大努力,一项针对851名职场专业人士的最新调查发现,“员工更信任AI,而非HR。” 什么?这怎么可能? 在你否定这个结果之前,让我解释一下数据。这并不像表面看起来那样简单。 数据揭示了什么? 1. AI被认为更值得信任 当被问到“你更信任AI还是HR专业人士”时,54%的受访者表示更信任AI,而27%表示更信任HR。这个数据虽然听起来奇怪,但实际上反映的是“信任”的问题。员工知道经理有偏见,因此任何由HR提供的绩效评估、加薪或其他反馈可能都会受到某种偏见的影响(甚至是近期偏见)。 而AI没有“个人意见”。在基于真实数据的情况下,它的决策往往更“值得信赖”。65%的受访者相信AI工具会被公平使用。 这很合理:我们已经从认为AI会毁灭世界的担忧中跨越了鸿沟,现在更多地将其视为统计和基于数据的决策系统。而且你可以问AI“为什么选择这个候选人”或“为什么这样评估这个员工”,AI会给出精准且明确的答案。(而人往往难以清楚地解释自己的决定。) 2. AI已被信任用于绩效评估 尽管目前市场上可用的AI绩效评估工具还很少(如Rippling的工具),但39%的受访者认为AI的绩效评估会更公平,33%认为基于AI的薪酬决策不会有偏见。同样,这很可能是因为AI能够清晰地解释其决策,而管理者往往依赖“直觉”。 3. AI更受欢迎作为职业教练 当被问到“你是否重视AI工具在职业目标设定方面的指导能力”时,64%的受访者表示“是”。这再次表明员工对反馈和指导的需求,而这是许多管理者做得不够好(或者不够开放)的地方。 这不是对HR的否定,而是对管理者信任度的质疑 对我而言,这些数据揭示了三个重要点,每个都可能让你感到意外: 1. 员工对管理者的决策能力存疑 我们并不总是信任“管理者”在招聘、绩效和薪酬方面做出公正、不偏不倚的决定。员工知道偏见存在,因此希望有一个系统可以更公平地选择和评估他们。 2. AI从“令人恐惧”到“被信任”的转变 我们已经跨越了“AI令人害怕”的心理鸿沟,开始更多地将其视为可信赖的工具,这使得企业可以更大规模地将AI用于人事决策。 3. HR需要迅速适应AI时代 对于HR部门来说,前进的方向已经明确。我们现在必须立刻学习AI工具,将它们引入最重要的HR领域,并投入时间去管理、培训和利用这些工具。 关于HR赢得信任的能力,现在的逻辑变成了这样:公司内部支持和信任的建立将越来越依赖于HR如何选择和实施AI系统。员工的期望很高,因此我们必须满足这些需求。不管你喜欢与否,AI正在改变我们管理人的方式。
    Josh Bersin
    2024年11月21日
  • NACSHR活动
    重磅:2025NACSHR论坛活动计划发布 备受关注的NACSHR2025年度论坛活动计划正式发布,欢迎保存收藏! 自2016年起,北美华人人力资源协会(NACSHR)一直致力于搭建一个互动交流的平台,专为HR专业人士和泛商科界的精英而设。随着时间的推移,NACSHR举办的行业论坛已经成为北美地区最具影响力的HR事件之一,吸引了众多业内精英和专家的关注和参与。 2025年,我们再次诚挚邀请全球的华人HR专业人士以及人力资源领域的从业者,加入我们的年度各个盛会。本年度的论坛将继续沿袭以往的成功模式,包括专业论坛、实用课程、招聘会、企业参访交流以及不同形式的交流活动。这些活动不仅提供了最新的行业知识和趋势,而且也为参与者提供了一个难得的机会,与行业大咖进行近距离的交流,以及与同行建立或深化联系。 积极响应大家的诉求,2025年NACSHR特别举办NACSHR城市论坛,将根据情况不定期举办。同时为弥补很多朋友各种原因无法现场参与的遗憾,也特别设置了线上互动论坛。2025年NACSHR更多精彩,更多变化,更多参与机会。 2025年NACSHR针对华人人力资源服务机构推出年度合作伙伴计划,提升华人人力资源服务机构品牌,赢取市场先机! 同时在这个多元化的平台上,我们将探讨如何在北美职场中实现个人职业的飞跃,如何应对快速变化的工作环境,以及如何通过有效的人力资源管理促进企业和个人的共同发展。NACSHR2024年度论坛不仅是一个学习和交流的场所,它也是一个启示和灵感的源泉,为华人HR专家和从业者打开了一扇通向职业新篇章的大门。 我们期待与全球的华人HR同仁共襄盛举,一同探索和塑造未来人力资源的新趋势。 让我们2025年在NACSHR相遇,共同开启一场思维的碰撞和心灵的触动。 会议咨询:nacshr818@gmail.com 注明事由 赞助咨询:Annie  索取合作计划 微信公众号&小红书:NACSHR 网站:www.nacshr.org NACSHR图谱认证服务:https://www.nacshr.org/2172.html 马上加入北美HR采购指南(免费入驻网页版): https://www.nacshr.org/map/Register/join  成为分享嘉宾,打造个人专业品牌形象  https://www.nacshr.org/1732.html 北美HR招聘平台(免费发布HR岗位):  https://www.nacshr.org/job 免费订阅NACSHR每周快讯:https://www.nacshr.org/maillist
    NACSHR活动
    2024年11月13日
  • Josh Bersin
    Josh Bersin:通过效率实现高速增长:新时代的主题 最近的选举中,各种信息混杂,但有一条呼声响彻领导人的耳中:美国政府必须提高效率。美国选民似乎对芯片和基础设施法案上花费的数十亿美元并不感冒:他们想要的是更低的税收和更负责任的政府。 正如埃隆·马斯克所解释的那样,降低成本是一项涉及数千个细节的工作。每当你聘请一名经理,就会产生更多的费用中心。本周,亚马逊首席执行官安迪·贾西 (Andy Jassey) 宣布他希望减少经理人数。正如我在最近的 HBR 文章(通过力量倍增器发展你的公司)中所讨论的那样,如果你围绕“更少的人”进行设计,你的公司实际上可以发展得更快。 围绕更少的员工来优化公司意味着什么?这意味着要改变很多事情: 在没有组织发展计划的情况下,不要分配员工 不要在发展前就招聘员工并期望收入会随之而来(Salesforce招聘 1000 名销售代表来销售 AI?) 迫使管理人员在基层实现自动化,并不断重新思考岗位职责 消除复杂的职位名称,减少级别,以便于人员调动 停止根据“控制范围”支付管理人员的薪酬——根据产出、收入、盈利能力或增长进行评估 加倍投资培训,并开始在不同的职业类别之间进行交叉培训 告诉那些请求增加员工数量的领导“重新考虑减少员工数量的计划” 用奖金支付员工工资,避免根据绩效高薪加薪(这会使不公平制度化) 大力投资人工智能和自动化测试项目,让一线员工给你出主意 除非你有非常明确的商业案例,否则避免大规模的 ERP 升级 培育精英管理文化,奖励人们的技能和表现,而不是“达到目标”。 许多人力资源实践必须进行调整。最重要的是人才密度的理念,让每个人都能表现出色……并重新思考我们的招聘方式,这样我们就不会在不知不觉中招聘了太多员工。 我们从小就接受这种古老的钟形曲线观念:只有 10% 的人能被评为 1,20% 的人被评为 2,依此类推。这个愚蠢的想法本应迫使人们竞争,这样人们就会争相获得备受推崇的 1 评级。虽然这在逻辑上说得通,但效果却适得其反。如果你相信(就像我一样)每个人都能成为高绩效者,那么这种制度会伤害最有抱负的人的绩效。 每个员工都能在合适的角色中发挥出超强的表现。 研究表明,真正的团队表现遵循“力量曲线”——少数人(篮球界的勒布朗·詹姆斯或斯蒂芬·库里)的表现比其他人高出 10 到 100 倍。其他团队成员见证了他们的成功,并找到了属于自己的“超强表现”角色。如果所有高评价的位置都被占满,其他人的动力又是什么呢?我们希望每个人都能感觉到自己可以成为超级明星,我们希望公司能帮助他们找到这个机会。 我们招聘员工时,不是以附加的方式满足“缺少的技能”或“缺少的人数”,而是以“力量倍增效应”为目的。新员工是否会成倍地提高整个团队的绩效?或者他们只是“填补了一个看似空缺的职位”。后一种做法是走向官僚主义的旅程;前一种做法是超级竞争性增长的秘诀。(我们称之为“人才密度”) 为什么现在提出这些观点? 在一个员工减少的世界里,我们所有人都将面临人才短缺的问题。随着AI的加速发展,我们必须把公司视为由超高绩效员工组成的网络。 我无法预测联邦政府将会做些什么,但希望这些有启发性的思考能够影响华盛顿。是的,我们还有工会等问题需要考虑,但即使是世界上最大的机构也有其局限性。 如今,自动化触手可及,任何“大公司”都可能受到小公司的威胁。因此,越早开始“精简”思维,越能获得优势。   作者:Josh Bersin
    Josh Bersin
    2024年11月13日
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