• Gartner
    David Green:The best HR & People Analytics articles of August 2024 I’ve just returned from a three-week family holiday in the South of France and am feeling refreshed, recharged and ready for the final four months of the year. These are invariably the busiest for the team at Insight222, and 2024 is set to be no different. The Digital HR Leaders podcast returns from its summer sojourn on September 3 with a special episode on how HR can help their organisations embrace the blended workforce, featuring Diane Gherson and Lynda Gratton, and based on their brilliant recent HBRarticle, The Insight222 Global Executive Retreat, which we host annually for leaders of 100+ companies that are part of the Insight222 People Analytics Program, takes place in Amsterdam from September 24-26 with guest speakers including: Erin Meyer, Prasad Setty, Janine Vos, and a workshop on storytelling with Duarte, Inc.. The fifth annual Insight222 People Analytics Trends report, which studies how leading companies are using people analytics to generate business value will be published in October – you can read the 2023 study here. Additionally, I will be speaking at a number of conferences before the end of the year including Workday Rising (Las Vegas, September 16-19), People Analytics World (New York, October 2-3), UNLEASH World (Paris, October 16-17), and Workday Rising EMEA (London, November 12-14). This edition of the Data Driven HR Monthly is sponsored by our friends at 365Talents 365Talents goes beyond traditional approaches, offering more than just technology for Skills-Based Organizations. Our approach is not just about managing skills; it's about making the entire process seamless, effective, and enjoyable. Picture real-time insights into your workforce's skills, coupled with the expertise to implement strategic HR projects aligning with your business goals. Our experience in talent mobility and skill development contribute to creating a more democratic, inclusive, and future-ready world of work where every individual has the power to shape their professional path. Start your skills journey with 365Talents today and join the ranks of trailblazers like Veolia, SLB, TotalEnergies, SocGen, and more! To find out more click here: https://www.365talents.com/en/lp/experience-365talents 2024 Skills Impact Report In today’s fast-paced and increasingly disruptive environment, companies need to adopt a more flexible approach that puts its people and their skills at the center of its talent management strategies. This has become more and more imperative as: 59% of the global workforce are disengaged. 69% of job candidates say they would reject a job offer from an employer with a negative reputation, even if they were unemployed. 87% of organizations currently have an existing skills gap or expect to within the next two to ten years. Enter the 2024 Skills Impact Report. It explores the business imperative of talent experience for Skills-Based Organizations, the impact it has on your employees, the pillars of design thinking for HR and how to start applying it to your strategy with 5 intuitive roadmap worksheets. CASE STUDY: SEGULA Technologies Group In 2020, as the world faced significant engineering transformations, the COVID crisis, talent shortages, and the rise of AI, SEGULA Technologies Group launched a strategic initiative to plan and manage the resources and skills of its workforce. The goal of this ambitious project was to identify and leverage the talents of the Group's 15,000 employees across 30 countries, using AI to drive innovative skills management and enhance overall performance. Read the Case Study to learn all the steps and actions taken to successfully tackle the challenge! To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 130,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. Share the love! Enjoy reading the collection of resources for August 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 July’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. NEW: Insight222 research report on the People Analytics Ecosystem Access the new Insight222 study here: Building the People Analytics Ecosystem: Operating Model v 2.0. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK MCKINSEY - Gen AI’s next inflection point: From employee experimentation to organizational transformation HR plays an especially important role in gen AI, both by transforming the people domain and by acting as a gen AI copilot for all employees. One executive noted that for every $1 spent on technology, $5 should be spent on people. A new study by McKinsey finds that to generate value from the momentum associated with GenAI, businesses must transform their processes, structures, and approach to talent. The article, penned by Charlotte Relyea, Dana Maor, Sandra Durth, and Jan Bouly, outlines the key findings from the research: (1) Employee use is at an inflection point, while their organisations lag behind. (2) The next inflection point will see organisations shift from individual experimentation to strategic value capture. (3) Reinvent domains by translating vision into value. (4) Reimagine talent and skilling by putting people at the centre (see FIG 1). (5) Reinforce the changes to continue transforming (“To make gen AI changes stick, organizations need the right infrastructure to support continuous change and win over hearts and minds”). FIG 1: Early adopters prioritise talent and the human side of GenAI more than other companies (Source: McKinsey) DAVE ULRICH - How are You Doing at AI for HR? A Ten-Item Assessment to Evaluate Your Progress Getting started in AI for HR often begins with initiatives that can be done relatively quickly and easily. Dave Ulrich shares key takeaways from a recent deep-dive, he and his colleagues at The RBL Group facilitated with senior HR leaders on AI in HR. He distils these into ten dimensions designed to help HR leaders assess how they are doing at applying AI for HR to their organisation (see FIG 2). These include: (1) Articulate a business case. (2) Develop Talent who can ‘do’ AI. (3) Create Responsible AI policies. (4) Create metrics to guide and measure success. (5) Start with low-hanging fruit. FIG 2: Criteria to evaluate how well your organisation is using AI for HR (Source: Dave Ulrich) DUNCAN HARRIS AND KATE ZOLNER - 5 Employee Fears of AI and How to Overcome Them If companies want to get the most out of AI, they need employee trust. Securing it is not easy. More than three-quarters of employees don’t think their organization’s future use of the technology will be ethical. Duncan Harris and Kate Zolner present the findings of Gartner research on the five main employee fears of AI use by their organisations (see FIG 3), which have a negative impact on employee trust. They then explain how leaders can address these fears through initiatives in areas such as learning, co-creation, effective communications, ethics and data privacy. As well as enabling the organisation to benefit from AI, Harris and Zolner argue that these solutions will lead to higher levels of inclusion, engagement and effort. FIG 3: Five Employee Fears of Organizational AI Use (Source: Gartner) STACIA GARR - How is HR using Gen AI today? | MAX BLUMBERG - GenAI in HR: Slashing Costs, Boosting Efficiency | SWANAND DEODHAR, FAVOUR BOROKINI, AND BEN WABER - How Companies Can Take a Global Approach to AI Ethics | BAIN - AI Survey: Four Themes Emerging Four more resources tracking topics related to GenAI in HR. (1) Stacia Sherman Garr’s LinkedIn post summarises RedThread Research analysis of how HR is using GenAI today (see FIG 4). (2) Max Blumberg (JA) ?? provides a summary of his report on Slashing HR Costs: The Ultimate Blueprint for Implementing GenAI in HR, which provides guidance on implementing GenAI to transform HR cost efficiency, and includes Max’s GenAI HR Cost Reduction Maturity Model (see FIG 5). (3) Ben Waber teams up with Swanand Deodhar and Favour Borokini in a Harvard Business Review article offering guidance on how companies can take a global approach to AI ethics: “Because AI and related data regulations are rarely uniform across geographies, compliance can be difficult. To address this problem, companies need to develop a contextual global AI ethics model that prioritizes collaboration with local teams and stakeholders and devolves decision-making authority to those local teams.” (4) Gene R., Sanjin Bicanic, Jue Wang, Richard Lichtenstein, and Arjun Dutt share the four key themes that emerged from Bain’s recent AI survey, which includes that the emphasis has shifted from experimentation in 2023 to delivering real value 12 months later – thanks to Hung Lee for sharing Bain’s research in a recent edition of Recruiting Brainfood. FIG 4: How HR is using GenAI (Source: RedThread Research) FIG 5: GenAI HR Cost Reduction Maturity Model (Source: Max Blumberg) MARC EFFRON - Above the Fray: What We Know About How WFH and Hybrid Affect Work We should approach solving this problem in the same intelligent way as we suggest all human problems be solved – start with the science. As his article on skills-based organisations testified, Marc Effron has a penchant for cutting through the hype and getting to the heart of an issue. As such, I highly recommend digging into his new analysis on what the science and evidence says are the trade-offs among WFO, WFH and hybrid work. Firstly, Effron dispels four myths propagated by proponents and opponents on CEOs, real estate, proximity bias and employees who prefer WFH. Then he examines the consequences of different work arrangements on (1) performance, (2) creativity, (3) innovation (4) work relationships, (5) collaboration, and (6) managing based on the emerging knowledge available via Google Scholar. LYNDA GRATTON - Seven Truths About Hybrid Work and Productivity | BRIAN ELLIOTT - Hybrid Work: How Leaders Build In-Person Moments That Matter | REBECCA KNIGHT - 17 Team-Building Activities for In-Person, Remote, and Hybrid Teams To get the most from hybrid work, leaders should prepare for trade-offs, make expectations clear, and think harder about how productivity is measured. Three more resources on hybrid work to read in conjunction with Marc Effron’s article above. First, Lynda Gratton unveils seven key findings from what she is seeing from experiments in hybrid working including: (1) Hybrid work is a continuum. (2) Productivity is usually challenging — and measurement is always complex. (3) It’s useful to view hybrid work as fundamentally a job design option. Second, Brian Elliott provides guidance on the four essential times leaders should be intentional about building moments that matter for hybrid workers: (1) Team development (“Get people together three or four times a year, with a 50-50 mix of business and social”). (2) Onboarding and training. (3) New-team formation and major-initiative kick-offs (“Grapple together over the objectives and norms of a project”). (4) Business-function-specific activities (“Let teams figure out the best in-person schedules for their needs”). Finally, Rebecca M. Knight provides guidance to leaders on team-building activities for in-person, remote and hybrid teams. FIG 6: Focus on Productivity, Not Physical Presence (Source: Brian Elliott, Future Forum) PEOPLE ANALYTICS NAOMI VERGHESE, JONATHAN FERRAR, AND JORDAN PETTMAN - Building the People Analytics Ecosystem: Operating Model v2.0 ARTICLE | FULL REPORT One of the questions we get asked most by the people analytics leaders and chief people officers we work with at Insight222 is: What capabilities do I need to build into our people analytics function? Based on research of more than 250 companies, focus interviews with 20 organisations, and our experience of working with more than 120 global companies as part of the Insight222 People Analytics Program, my colleagues Naomi Verghese, Jonathan Ferrar and Jordan Pettman have developed a new report: Building the People Analytics Ecosystem: Operating Model v 2.0. The executive article provides a summary of the key highlights, while the full report breaks down the six elements of the People Analytics Ecosystem (see FIG 7): (1) A Value Chain: from client drivers to business outcomes. (2) People Strategy at the Centre: a symbiotic relationship exists between people strategy and people analytics. (3) Five Core Capabilities: consulting, data science and research, employee listening, analytics at scale, adoption. (4) Four Additional Capabilities: reporting, data governance, workforce planning, AI strategy. (5) Internal Partnerships: HR and other business stakeholders are key to operational effectiveness. (6) External Partnerships: external suppliers and expertise are important for enabling success. FIG 7: The People Analytics Ecosystem (Source: Insight222 Building the People Analytics Ecosystem: Operating Model v 2.0) NELSON SPENCER - Introducing the S.T.A.R.T. Framework The strategy pillar is all about aligning with your overall HR and Business goals. You should be able to connect how your strategy is driving business outcomes. Nelson Spencer, who has worked in both sports and people analytics, presents his S.T.A.R.T Framework (see FIG 8), which is designed to solve a perennial problem for many HR functions: the disconnect between analytics, technology and operations. As Nelson explains, S.T.A.R.T has been designed “to consider these three critical functions holistically, acknowledging that they are part of a bigger puzzle and are all deeply interconnected.” The five pillars, which Nelson describes in detail in his article, are: (1) Strategy, (2) Technology, (3) Analytics, (4) Results, and (5) Transformation. He then provides guidance on how to implement the framework in organisations of varying sizes, from small to large. FIG 8: The S.T.A.R.T Framework (Source: Nelson Spencer) MICHAEL LUCA AND AMY EDMONDSON - Where Data-Driven Decision-Making Can Go Wrong When making decisions (using data), managers should consider internal validity—whether an analysis accurately answers a question in the context in which it was studied. They should also consider external validity—the extent to which they can generalize results from one context to another. Drawing on their research and work with companies, Michael Luca and Amy Edmondson present an approach that considers internal validity and external validity that leaders can apply to discussions of data to support better decision-making. This approach is designed to help leaders avoid five common pitfalls (see FIG 9) associated with data-driven decision-making. FIG 9: How to avoid predictable errors (Source: Michael Luca and Amy Edmondson) WILLIS JENSEN - Building a Network View of Data | MARTHA CURIONI - Supporting HR Adoption of People Analytics | JACKSON ROATCH - Your Best Career Move could be Going for a Run | SERENA HUANG - The Future of Work is Wellbeing | JASPAR SPANJAART - How NVIDIA's Talent Intelligence approach helped fuel its trillion-dollar rise | TOBY CULSHAW - The Talent Nexus: Redefining Business Agility for the 21st Century CEO 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. Six are highlighted in this month’s edition.  (1) In another excellent edition of his Making People Analytics Real blog, Willis Jensen discusses how to get a network view of data: “Linking your data together should be a top priority for any people analytics team.” (2) Martha Curioni provides guidance on how to support HR to adopt people analytics harnessing insights from the likes of Isabel Naidoo, Patrick Coolen, Greg Newman, and Amit Mohindra. One of Martha’s tips focuses on the importance of including HRBP’s rather than going around them. (3) As someone whose best ideas invariably come when I’m on a run, I particularly enjoyed Jackson Roatch’s article exploring the link between physical exercise and workplace learning, performance and thriving. (4) In an edition of her From Data to Action blog, Serena H. Huang, Ph.D. explores how AI can support wellbeing and lays out a ten-point plan on responsible AI principles for workplace wellbeing (see FIG 10). (5) NVIDIA’s Meta McKinney, MLIS and Nickolas Dowler, MBA explain to Jasper Spanjaart how the company’s Talent Intelligence strategy helped fuel its growth: “A winning Talent Intelligence strategy requires several key ingredients: data-driven and tested theories, meticulous and thoughtful research, reliable data, creative problem-solving, clear communication of the rationale, trusted relationships with business leaders, and the financial support and freedom to execute.” (6) Toby Culshaw provides a compelling breakdown of what he describes as The Talent Nexus: “The Talent Nexus represents a revolutionary approach to talent management and acquisition in the modern business landscape. It's an AI-driven, quantum-computing-enhanced ecosystem that transforms how organizations interact with, deploy, and develop talent.” A must-read for all those involved in talent intelligence, people analytics and workforce planning. FIG 10: Responsible AI Principles for Workplace Wellbeing (Source: Serena Huang) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE RAVIN JESUTHASAN - The AI revolution is coming to L&D AI will empower the L&D function to support strategic workforce planning through skills-related insights and interventions. This will help organizations shift from costly ‘churn and burn’ strategies to more cost-effective and sustainable reskilling and upskilling programs. Ravin Jesuthasan, CFA, FRSA examines how AI is set to transform the learning and development function. He highlights Mercer analysis that finds that AI and automation will likely augment some L&D activities (see FIG 11), as well as outlining four potential AI uses cases for corporate L&D: (1) Producing L&D content. (2) Personalising L&D delivery. (3) Driving the skills-powered revolution. (4) Democratising knowledge. For more from Ravin, watch the recent LinkedIn Live on Skills-Powered Organisations in the Age of AI, which I moderated and featured Ravin alongside Tanuj Kapilashrami. FIG 11: Time by task: L&D versus AI and Automation (Source: Mercer) NANCY DUARTE - Are Your Presentations Too Emotional — or Too Analytical? When making a presentation, leaders need to balance appeals to both logic and emotion — the head and the heart. Nancy Duarte provides invaluable guidance on how to strike a balance between logic and emotion when making a presentation, and how credibility plays a crucial role in this balancing act. She explains that the first step in achieving this balance is understanding the audience: “Are they data-driven decision makers who thrive on statistics and factual evidence? Or are they more likely to be swayed by personal stories and emotional connections?” FIG 12: An Analytical and Emotional Balance That’s Just Right (Source: Nancy Duarte) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS SANDRA LOUGHLIN – Seven Elements of Skills Data Quality Skills data quality isn’t talked about much despite being the foundation for the SBO value proposition, a critical input to selecting and gaining value from skills tech vendors, and arguably the most difficult part of a skills transformation. These wise words open Sandra Loughlin, PhD’s excellent article, where she outlines seven aspects of skills data quality, why they matter and their trade-offs: (1) Relevance (“Skills that are tracked should be the skills that need to be tracked—there’s no point in collecting skills data that won’t help you make better business decisions”). (2) Accuracy. (3) Validity. (4) Completeness. (5) Consistency (“Skills data should be consistently defined, recorded, and categorized across systems and within the organization”). (6) Timeliness. (7) Uniqueness. Thanks to Victoria Holdsworth for highlighting Sandra’s article. EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING CATHERINE COPPINGER - Introducing Two New Metrics: Fragmented & Interrupted Time Catherine Coppinger from Worklytics introduces two new metrics: (1) Fragmented Time (“the sum of the total number of hours people have in blocks of time that are too short to get any deep work done”) and (2) Interrupted Time (“a metric designed to measure those periods of the day where people keep getting interrupted and just can’t find enough concentrated time to finish an important task”). Understanding these can help individuals and managers organise time more productively while enhancing employee wellbeing (see FIG 13). Read as a follow-up to another recent article by Catherine: 4 New Ways to Model Work, which featured in the July edition of Data Driven HR Monthly. FIG 13: Source: Catherine Coppinger, Worklytics MCKINSEY - What employees say matters most to motivate performance Performance management is most effective when it features strong, consistent internal logic that employees understand In their article, Asmus Komm, Brooke Weddle, Dana Maor, Katharina Wagner and Vivian Morrow Breaux present the findings of a McKinsey study of more than 1,000 employees across the globe on what matters most to motivating employee performance. The findings provide insights to employers to guide their approach with regards to performance management. These include: (1) Performance management frameworks should be consistent and clearly articulated. (2) Goal setting has impact when goals are measurable and clearly linked to company priorities (see FIG 14). (3) Performance reviews with skilled managers are crucial to employee performance. (4) Rewards that include nonfinancial incentives provide a boost. FIG 14: Employees are motivated by measurable goals linked to company/team (Source: McKinsey) LEADERSHIP, CULTURE, AND LEARNING MEGAN REITZ AND AMY EDMONDSON - When a Team Member Speaks Up — and It Doesn’t Go Well Speaking up — and being heard — in organizations is critical. What gets said, and what doesn’t, directs ethical behavior, innovation, inclusion, and performance. In their article for Harvard Business Review, Megan Reitz and Amy Edmondson explore how 'conversational failures' often cause breakdowns in psychological safety rather than being used as opportunities to learn and develop. They discuss why they occur and the reasons why it is difficult to learn from these failures, before providing guidance on how these failures can become ‘intelligent’: (1) Prepare to learn from conversations. (2) Notice critical moments. (3) Implement process tools. (4) Attend to learning over the long term. For more on ‘intelligent failure’, tune in to Amy’s conversation with me on the Digital HR Leaders podcast: How Learning to Fail Can Help People and Organisations to Thrive. If you’re not failing, you’re not journeying into new territory JAMIE SMITH - How boards can champion a resilient talent strategy Talent strategy is increasingly vital to driving overall strategy. Based on a study of by EY and Corporate Board Member magazine of US public company directors across a range of industries, Jamie Carroll Smith presents analysis of the four opportunities identified in the research for boards to champion a resilient talent strategy: (1) Gain deeper insight into the employee experience. (2) Enable a workforce for the future (“Directors recognize that AI developments demand a reskilling of the workforce”). (3) Harness the value of diversity, equity and inclusion (“The future talent pool may depend on companies prioritizing DEI”). (4) Identify opportunities to strengthen talent governance. Thanks to Brian Heger for highlighting in an edition of his excellent Talent Edge newsletter. FIG 15: The biggest impacts of AI on company workforce strategy (Source: EY) JEN FISHER, SUE CANTRELL, JAY BHATT, AND PAUL SILVERGLATE - The important role of leaders in advancing human sustainability More than eight out of 10 executives surveyed say a stronger commitment to prioritizing a positive human impact would increase their company’s ability to attract new talent (82%), appeal to customers and clients (81%), and profitability (81%). Jen Fisher, Susan Cantrell, Jay Bhatt, and Paul Silverglate outline the key findings from Deloitte’s third annual Workplace Wellbeing report. The primary finding suggests that leaders can play a key role in prioritising and advancing a human sustainability agenda, particularly when it comes to measuring outcomes and holding their organizations accountable for progress. Insights identified in the study include: (1) The three trends impacting today’s workforce the most are skills, burnout and mental health. (2) The modern work experience doesn’t promote human sustainability but C-suite leaders aren’t seeing it. (3) While three out of four executives believe workforce wellbeing is excellent or good, workers are having a different experience (see FIG 16). The article then provides guidance on the metrics companies can implement to measure human sustainability including on skills development, purpose, DEI and societal impact. FIG 16: Source – Deloitte Wellbeing at Work survey, 2024 DIVERSITY, EQUITY, INCLUSION, AND BELONGING JANINE LEE - Breaking Down Barriers to Belonging for Women of Color in Tech In her article in Harvard Business Review, Dr. Janine Lee, MBA, Ed.D. Global Head of L&D at Google, outlines the findings from her doctoral research on workplace belonging for women of colour in the tech industry. Janine highlights the top belonging contributors and detractors identified in the study (see FIG 17), and then offers three recommendations to boost workplace belonging: 1) Invest in programs that foster peer-based relationships, 2) Enable sponsorship and mentoring opportunities, and 3) Hold leaders accountable to “walk the talk.” FIG 17: Sense-of belonging contributors and detractors (Source: Janine Lee) 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 August that I recommend readers delve into: GURU SETHUPATHY – Understanding the EU AI Act in Four Handy Charts – Guru Sethupathy of FairNow provides an invaluable breakdown of the EU AI Act and its implications. FIG 18: The four risk levels under the EU AI Act (Source: FairNow) EMILY KILLHAM - How to Build a Better Boss: What Leaders (and Their Teams) Need Now to Thrive – Emily Killham delivers a new study by Perceptyx identifying five key behaviours for managers, the positive and negative impacts of manager behaviour on employees and organisations, and the role of employee feedback in help managers take corrective action. FRANCISCO MARIN - The Role of Active and Passive Organizational Network Analysis in Cybersecurity – Francisco Marin of Cognitive Talent Solutions breaks down how active and passive ONA can support organisational cybersecurity initiatives including the detection of anomalous communications, enhancing incident response and tailoring security strategies. LOUJAINA ABDELWAHED - How To Lose an Employee in 10 Days – Loujaina Abdelwahed, PhD presents analysis by Revelio Labs highlighting the negative impact of return to office on employee reviews and attrition. FIG 19: Negative reviews of RTO correlate positively with attrition (Source: Revelio Labs) ALICIA ROACH – Not all ‘Workforce Planning’ is the Same – If you are interested in workforce planning and don’t follow Alicia Roach of eQ8 on LinkedIn, you really should. In her recent post, Alicia reflects on her ‘triangle of workforce planning’ (see FIG 20), which skilfully illustrates the value of ‘strategic’ workforce planning. FIG 20: Source – Alicia Roach 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): EMILY HACKER AND DAN WEISS - The Critical Role Data Plays in Skills Development - Emily Hacker, CPTD and Dan Weiss share insights from MetLife's skills journey with Stacia Sherman Garr and Dani Johnson of RedThread Research on the Workplace Stories podcast. The key learning from the conversation is that your skills data doesn't need to be perfect to benefit employees, improve talent acquisition, and enhance workforce planning. JOSH BERSIN - The Future Of The Workforce Has Arrived, Can’t You See It? – Inspired by his recent trip to Europe, Josh Bersin explains why the traditional industrial work model has ended, gig work is now mainstream, reskilling should be given primacy, and why HR professionals need to reskill in AI to stay relevant. BRYAN HANCOCK AND EMILY FIELD - Managing in the era of gen AI – In this episode of McKinsey Talks Talent, Bryan Hancock and Emily Field, two of the authors along with Bill Schaninger, Ph.D. of Power to the Middle: Why Managers Hold the Keys to the Future of Work, join host Lucia Rahilly to explain why middle managers matter, what leaders could do differently to make more of the managers on their teams, and how gen AI could change middle managers’ jobs—for the better. ANSHUL SHEOPURI - How Mastercard is Training Employees for the AI Era – Anshul Sheopuri, EVP People Operations and Insights at Mastercard, joins Christopher Rainey on the HR Leaders podcast to shares insights on leveraging AI in HR and the importance of continuous learning. JAMES GALLMAN - Bridging HR Technology, Analytics, AI Agents, LLMs, & Nudging at NetApp - James Gallman , VP HR PMO, Systems and Analytics at NetApp, joins hosts Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss the overlap between HR technology and people analytics. LILY ZHENG - Ground Your DEI Efforts in Data – In an episode of Women at Work, DEI strategist and consultant Lily Zheng joins hosts Amy Bernstein and Amy Gallo to explain the role of data and analytics in DEI, and the importance of measuring outcomes to make lasting progress. VIDEO OF THE MONTH JULIET SCHOR - Smarter Work for a Better World? Studies suggest that the Four Day Week may reduce burnout and depression, while also offering significant opportunities to reduce our collective carbon footprint. One of my favourite sessions at this year’s Wharton People Analytics Conference saw Professors Juliet Schor and Iwan Barankay discuss what we know about the four-day work week and share their different perspectives on what this alternate structure might mean for organisations and their employees. BOOKS OF THE MONTH One of the benefits of being on holiday the past few weeks has been that it enabled me to catch up on some reading, hence there being two books of the month for August: NICK VAN DAM – Boosting Your Well-being: The Best Version of Me - A wonderful book – and a wonderful cause with 100% of the book’s royalties being donated to the e-Learning for Kids Foundation. Written by Prof. dr. Nick van Dam, and 20 co-authors, this is a comprehensive book on professional wellbeing. It delves into the interconnected aspects of four key dimensions: body, mind, purpose, and environment, and offers a compelling approach to self- improvement. I particularly enjoyed the chapters on resilience and adaptability (written by Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten) ), sleep (Dr Els van der Helm) and contribution (Emily Ricci). An uplifting and potentially life-changing read. KALIFA OLIVER – I Think I Love My Job: Secrets To Designing A People-Centered Employer Value Proposition - At times a powerful and relatable story of the ups and downs of corporate life, and at others a compelling narrative on how to approach work, harness data and build a world-class employee experience. Kalifa Oliver, Ph.D. combines both an academic and a practitioner mindset that empowers the reader to take charge of their career, challenge workplace norms, and use data to revolutionise the employee experience. FROM MY DESK August saw us reach a notable milestone on the Digital HR Leaders podcast – our 200th episode, and we celebrated in style with a special guest, Amy Edmondson, Thank you to Louis Gordon and the team at HiBob for sponsoring series 40 of the podcast. AMY EDMONDSON - How Learning to Fail Can Help People and Organisations to Thrive – Harvard professor, pioneer of psychological safety and Thinkers50 #1, Amy Edmondson joined me for our 200th episode, where we discussed intelligent failure, and how failing well can drive individual and organisational success. DAVID GREEN - What key elements do you believe are essential to building a strong company culture? - A round up of series 40 of the Digital HR Leaders podcast, with insights from John Winsor, Maureen N. Dunne, Ph.D., Nirit Peled-Muntz, Heidi Manna and Amy Edmondson. DAVID GREEN - Five Key Elements For Building a Strong Company Culture? – A recent article for myHRfuture, where I break down five elements in building a strong company culture including aligning with organisational mission and using people data as your GPS. 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 close to 500 roles – and has now been developed into a LinkedIn newsletter too. THANK YOU Wayne Tarken for kindly writing a post about me on LinkedIn: Curious About People Analytics? - What Leaders Can Learn from Thursday's Thought Leader. Ester Martinez and her team at People Matters for including the Digital HR Leaders podcast in their list of 100 must-read resources for HR and talent leaders. Rachel Collins for her post emphasising the need to move from employment to employability, inspired by the LinkedIn Live I hosted recently with Ravin Jesuthasan and Tanuj Kapilashrami. Similarly, thanks to James Elliott for also posting here about the LinkedIn Live with Ravin and Tanuj. David McLean , whose post on learning from your failures references the Digital HR Leaders podcast episode with Amy Edmondson. Veronika Birkheim , whose post on Culture Diagnostics, references the Digital HR Leaders podcast episode with Heidi Manna. Andrew Gadomski for his post on how he uses the Data Driven HR Monthly as a learning tool at the Cybersecurity and Infrastructure Security Agency. Irada Sadykhova for her post on how to build a strong company culture, which was inspired by a recent series of the Digital HR Leaders podcast. Ashley Utz for her post reflecting on the recent Digital HR Leaders podcast episode with Nirit Peled-Muntz. HR Executive Leadership Exchange for including me in their list of the Top 10 HR Leaders You Should Follow. Mirro.io for including me in their list of Top HR Leaders to Follow in 2024. Daniyal Wali and The Talent Games for including me in their list of the Top 10 HR Tech Leaders to Follow in 2024. Finally, a huge thank you to the following people who shared the July edition of Data Driven HR Monthly. It's much appreciated: Jaqueline Oliveira-Cella Andrés García Ayala Kristhy Bartels Sandy Zou Danielle Farrell, M.A. David Hodges Jeff Wellstead Gord Johnston MA, BHJ, BA, CHRP Debbie Harrison Dave Millner Sharna Wiblen Aizhan Tursunbayeva, PhD, GRP Catriona Lindsay Amardeep Singh, MBA Walter Maes Marcano Gert-Jan Tretmans Tim Peffers Kouros Behzad Adam Tombor (Wojciechowski) Lewis Garrad Sebastian Szachnowski Bob Pulver John Golden, Ph.D. Ben Wigert, Ph.D, MBA Ken Oehler Alexis Fink Katia Simões Francisca Solano Beneitez Abbas Qaidari Onno Bouman Aravind Warrier Kathleen Kruse Adedamola Adeleke ☁️ Elodie MENAGER Susan Knolla John Healy David Simmonds FCIPD Andrews Cobbinah, MLPI, ACIHRM Deviprasad Panda Vanesa C. David McLean Timo Tischer Prachi Agasti Maria Alice Jovinski Tristan Hack Adam McKinnon, PhD. Nicole Hazard Michael Arena Andras Vicsek Jane Kuhn Emily Pelosi, PhD Malgorzata Langlois Ahmed Salah ?? Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Paul Daley Kyle Forrest Shivaani Talesra Ryan Wong Shujaat Ahmad Tessa Hilson-Greener Vivek Ojha Jacob Nielsen Søren Kold Tobias W. Goers ツ Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Galo Lopez Noriega Marino Mugayar-Baldocchi Alexandra Nawrat Marian Stancik Hanadi El Sayyed Marcela Niemeyer Higor Gomes Kirsten Edwards Andreea Lungulescu Bradford Williams Faiza Tasneem(Associate CIPD) Alysson DuPont, SHRM-SCP, MBA Dr. Peter Schulz-Rittich Joaquin Hernandez Doug Shagam Mariami Lolashvili Caitie Jacobson Jaap Veldkamp Jaejin Lee Yvonne Bell (She/Her) John Gunawan Roberto Amatucci Philipp Heller Tina Peeters, PhD Gianni Giacomelli Lina Makneviciute Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Jacob Bradburn, Ph.D. Ying Li Phil Inskip Jack Liu Jonathan Berríos Leiva Stephen Hickey Lars Schmidt Geetanjali Gamel Dan George Anabel Fall Alejandra Barbarelli Adam Gibson Mia Norgren David van Lochem Nick Lynn Silja Kupiainen Heather Whiteman, Ph.D. Meghan M. Biro Martijn Wiertz Agnes Garaba Dolapo (Dolly) Oyenuga Laurent Reich Sebastian Kolberg Sebastián Mestre Chris Long Penny Newman Ralf Buechsenschuss Sebastian Knepper Marcela Mury Joseph Frank, PhD CCP GWCCM Dave Fineman Ron Ben Oz Danielle Bushen Kimberly Rose Daorong Lin Sukumaran Mariappan Abhilash Bodanapu Sonia Mooney Kerrian Soong Jay Polaki⚡️ SHRM-SCP/SPHR Remco van Es Ken Clar Matt Elk Aulia Raubien Natalie Wiseman Graham Irene Wong David Balls (FCIPD) Olivier Bougarel Ramesh Karpagavinayagam Oliver Kasper Andrew Kilshaw Nick Hudgell Gal Mozes, PhD Tatu Westling Brandon Merritt Johnson 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 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. 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: September 11 - Productivity, Purpose, and Profit: How to thrive in ‘25 (London) September 16-19 - Workday Rising (Las Vegas) September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program October 2-3 - People Analytics World (New York) October 16-17 - UNLEASH World (Paris) October 22-23 - Insight222 North American Peer Meeting (hosted by Workday in Pleasanton, CA) - exclusively for member organisations of the Insight222 People Analytics Program November 12-14 - Workday Rising EMEA (London) November 19-20 - Insight222 European Peer Meeting (hosted by Merck in Darmstadt, Germany) - exclusively for member organisations of the Insight222 People Analytics Program More events will be added as they are confirmed.
    Gartner
    2024年09月03日
  • Gartner
    2024年将人力资源趋势和预测付诸实践的九种方法 新的一年如约而至。 新年带来新的潮流引导者,新的推动者和新的撼动者,标新立异的想法随之而来,推动进步。而一些趋势会随着市场的发展而变化,年年如是。 每年我们都会回顾去年的成功与失败经验,同时展望2024年的新机遇。2024年将会是划时代的一年。 经济萧条逐渐结束,我们处于新时代的前沿——人工智能时代,在这个时代我们对于文盲的理解变成了“智能文盲”,在工作场景中愈发明显。与此同时产生了复合效应,一些地区的工人需要更公平的工作环境,改进的DEIB策略以及孤立高管层的持续性影响。对于人力资源领导者来说,成为这些变革的先锋从未像现在这样重要。 在2024年保持领先地位 领导者需要有勇气继续跳出人力资源的框框思考,使用新兴技术而不是害怕它,并利用多代员工的独特技能。 然而,了解哪些趋势将推动未来的工作是一回事,了解领导者如何将这些趋势付诸实践才是成功的关键。为了帮助您了解,我们汇总了一些2024年顶级人力资源趋势和预测的优秀示例,并提供了一些有关如何将其付诸实践的可行提示。 正如你所看到的,人力资源在2024年如何发展似乎没有定论。从领导力战略到新兴人工智能、技能投资、多样性、道德、灵活工作,相互交织,随着人力资源世界的发展而不断涌现。 但是,如果仔细观察上述每一个人力资源趋势,你会发现有一些共同点,我们都认为这些共同点将在2024年对人力资源发展产生巨大的影响。 1.领导力与管理发展 最优秀的人力资源领导者明白变革是不可避免的,应该接受改变。正如 Visier 在他们的文章《人力资源的新规则》中所说的那样,变革并不一定是一场技术驱动的革命。它可以像改变视角一样简单。 正如 Visier 首席客户官 Paul Rubenstein 所说,“首席人力资源官(CHRO)必须结合业务数据了解人的绩效、敬业度和生产力,以应对当今的复杂挑战”。 到2024年,人力资源领导者将不仅仅是人事领导者,他们必须在人事管理节奏之外密切参与业务战略,以了解他们与最高管理层一样的工作背景。 然而,根据 Gartner 关于2024年人力资源领导者的 5 大优先事项的报告,“73%的人力资源领导者确认他们组织的领导者和经理没有能力领导变革”。 为了解决这个问题,大卫·格林(David Green)优先考虑赋予人事领导者权力,承认他们的工作量不断增加——“75%的人力资源领导者表示,他们的经理对工作职责的增长感到不知所措(89),而超过50%的经理说自己感到筋疲力尽”。 伯纳德·马尔(Bernard Marr)正确地指出,我们需要在下一代的背景下思考管理和领导力发展,而不仅仅是下一代领导者,而是下一代劳动力。Culture Amp 的研究支持这一点,强调“我们工作场所的代际权力平衡正在发生变化”——非常重视培养当前和未来的领导者,以重新获得进入劳动力市场的信任。在复盘全球正在进行的大规模辞职现状,以及心理安全在有效的混合工作团队中发挥的重要作用时,这一点尤其明显。 因此,从重建习惯管理和管道调整,到取决于管理者独特技能而重新调整的工作流程(而不是期望每个管理者都以同样的方式领导),提供了大量的可能性,可以真正彻底改变2024年的领导方式。2.组织文化与混合工作 如果你认为弹性工作已经一去不复返是因为一群老板希望人们回到办公室,请你再想一想其他原因。因为混合时代才刚刚开始。 思考一下 David Green 关于他对2024年人力资源机会预测的文章中强调的要点: “十分之八的首席人力资源官表示,他们没有计划在未来12个月内减少远程工作的数量”。 “自大流行以来,90%的公司已经接受了一系列混合工作模式”。 “现在,大多数员工有超过25%的时间在远程工作”。 再加上2023年10月,美国近 30% 的带薪日是在家工作。 我们现在所处的时代,人力资源领导者在根据这些变化带领调整公司整个组织结构发展方向上占主要地位。 人力资源领导者应使用数据和分析来为个人发展和绩效设定更好的期望。这也将减少文化发展的“一刀切”方法,并创造Visier所说的“增加的确定性”。事实上,当他们的研究表明“这些执行办公室申报表的公司中有三分之一的公司很难招聘新员工”时,我们比以往任何时候都更需要实施真正的组织变革,以满足新员工的需求。 大卫·格林(David Green)对此的做法集中在“人性化领导”上,即将员工福祉和个性化服务放在人员管理和和企业管理的核心——“建立一个更公平、更健康、更人性化的组织不仅是对员工的‘正确做法’,也是推动企业成功的选择”。 当然,说起来容易做起来难——Gartner 说,“47%的人力资源领导者都不知道如何推动变革以实现所需的文化”。 但是,解决之道是否在于创造更有意义的体验?Culture Amp 延续了这一思维框架,强调创造“值得通勤的体验”对于保持团队创造力和动力至关重要。 伯纳德·马尔(Bernard Marr)考虑了混合工作时代团队凝聚力和有效管理的影响,Mercer在其文章《2024年5个人力资源趋势:你能做些什么来保持领先?》中也将其作为重中之重,尤其是以灵活的思维方式领导的想法。 总而言之,在劳动力规划、职业处理、办公室使用和绩效方面进行可持续的组织变革必须评估各种投入,例如技术、保留策略和员工倾听,还有许多方面将在下文讲。 3.技术集成与人工智能 现在我们正处于真正的时代趋势之中——人工智能,以及技术发展的前沿。 毫不奇怪,上面引用的每一项研究都强调人工智能(包括生成式人工智能),这是2024年人力资源的重大转变。但人工智能并没有从某个职业中剔除数百万美元,也不会导致公司大规模裁员、突然倒闭。人工智能正在改变工作方向,而不是工作本身,在人工智能时代,帮助工人培养人工智能相关技能将使人们在工作中保持安心和快乐。 仅从生产力、敬业度和业务成功的角度来看,人工智能就是一个游戏规则的改变者: Visier ——“29%的工人表示,使用生成式人工智能工具每天可以节省30分钟到一个小时,而18%的人可以节省三到四个小时”。 Unleash ——“76%的人力资源领导者已经在讨论如何在工作场所使用人工智能,38%的人正在正式评估这项新兴技术”。 Gartner ——“76%的人力资源领导者认为,如果他们不在未来12到24个月内采用和实施生成式 AI,他们将在组织成功方面落后”。 然而,在数字人力资源领域这样一个令人兴奋的领域里,成功取决于某个类似却独特的东西——了解自己的极限。例如,我们鼓励每位人力资源主管在阅读本文时问自己以下几点: 您了解组织人力关系与数字关系的局限性吗? 您是否审核了员工对数字化转型的准备情况? 您有没有评估过什么是好的变化,你知道如何衡量它吗? 最后,您是否了解人工智能供应商的格局——谁在制造什么,有什么作用,对你有用吗? 从这开始,您将更好地了解 AI 如何为您提供帮助。 4.基于技能的战略劳动力规划方法 “转型的头号挑战是缺乏工作能力和技能,但只有五分之二的人力资源专业人士了解其组织该有的技能”——Mercer《2024年5个人力资源趋势:你能做些什么来保持领先?》 战略性劳动力规划(SWP)需要一种默契,即战略本身意味着对招聘和留住人员的转变方式保持敏感,而平衡全部人力资源责任和预算潜力意味着要对 SWP 的流程进行长期审视。 这包括从更多基于技能的角度看待技术,尤其是在数字化转型时代。正如 Visier 所强调的那样,“86%的员工表示,他们的雇主应该在技能再培训方面发挥更多作用,以确保他们不会轻易被人工智能工具取代”。 Gartner 认为内部流动令人信服的影响是成功的关键,“66%的人力资源领导者(他们自己也同意)其组织内的职业道路与许多员工的职业道路相比并不引人注目”。 创造一个引人注目的工作文化不会付出很大的代价,而是意味着为员工和业务发展赋予意义,并为企业完美地穿针引线,帮助企业和个人发展相关专业知识。正如大卫·格林(David Green)所强调的那样,这意味着要推动以技能为基础的SWP招聘,并将更大的业务目标与人力资源优先级联系起来,Mercer证实了这一点。 5.人员分析和加强决策能力 如果数据不能产生影响,那它还有什么用呢? 说到这,David Green 再次强调了关于人员分析如何在 CHRO 层面创建增强决策文化的可用情报,该文化将集中在人员分析和 CHRO 之间改进的关系上, “Insight222 的第四届年度人员分析趋势研究发现,人员分析的重要性和影响力继续增长,22%的人事分析领导者正在向首席人力资源官报告”。 人员分析领导者和首席人力资源官都需要将大量不同的业务优先事项和数据集结合起来,以推动个性化决策。这包括将伦理、数据民主化、数据影响和业务优先事项的影响放在组织转型和成功的保护伞下。 这意味着最优秀的人员分析专业人员可以提供可分析并可付诸实施的洞见-正如 Visier 所强调的那样,这就是为什么如此多的小型和新兴公司处于竞争激烈的时代,因为他们可以使用大量超详细的大数据以更敏捷的方式创建更具吸引力、更敏锐的业务决策。 6.与业务保持一致 一致性对许多人来说有很大的意味,但从本质上讲,如果人力资源部门要继续并提升其价值并确保组织敏捷性,那么: HR 和最高管理层需要加强联系。 人力资源和财务部门需要更加紧密地联系在一起。 David Green 通过 Insight222 的研究来证实,人力资源和财务部门越来越需要同步工作——“在271家公司中,接受调查的65家公司确认他们已经与财务部门建立了合作伙伴关系,其中99%的公司报告说,人员分析团队在过去12个月中取得了巨的成果”。 在2024年,为人力资源分析构建业务案例不是我们必须做的事情,但可惜的是,这通常是正在进行的人力资源预算和投资的核心对话。 解决之道在于使用最清晰、最明显的工具——人员和数据——来讲述人力资源故事。这种共生关系正是Visier研究所强调的,并建议人力资源领导者将他们的人员管理思维方式转变为“人力资源是一种操作系统,而不是一种运营模式”。 7.提高人力资源和劳动力的技能 这场无休止的技能提升之战将持续到2024年。但它将有自己的特点,在某种程度上受到人力资源投资性质变化以及人工智能和新技术的光速发展的影响。 伯纳德·马尔(Bernard Marr)对此的独特见解说明了这一领域的情况-——“了解生成式人工智能等变革性技术将如何增强现有人员能力,以及需要哪些素质和能力(战略思维,解决复杂问题,创造力,情商)来补充机器的短板”。 在人工智能时代,人机界面的发展将对劳动力如何重新掌握技能和提高技能产生巨大影响,随着数字原住民担任越来越多的领导角色,一般计算机素养和用户体验/用户界面的持续发展也将产生巨大影响。但是,当“到2028年,44%的工人技能将被颠覆”时,技能提升应该被正确地推到投资组合优先事项清单的首位。 8.多元化、公平、包容和归属感(DEIB) 大流行后“大辞职”生态系统的一个支柱是工作场所中的平等——更公平的工作条件、更多的工作与生活平衡、更好的代表性和更具包容性的工作场所。 2023年,我们认为释放 DEIB 的力量是未来一年人力资源领导者的重要关注点,利用分析工具和情绪分析工具等多种工具来改善招聘可衡量指标。 那么我们现在处于什么位置呢?尽管我们为使 DEIB 脱颖而出所做的所有艰苦工作,但仍许多需要做,正如 Visier 在下面的研究。 DEIB 策略确实存在失去重点的风险。但请记住,一家拥有成熟的多元招聘文化、建立在包容性工作场所基础上的公司,对从公司业绩到 ESG 的方方面面都有深远的积极影响。正如大卫·格林(David Green)提醒我们的那样,大多数工人认为DEIB是一件好事,其商业案例也很清楚。 “Insight222 的研究发现,在2023年(连续第三年),DEIB 是人员分析增加最多商业价值的领域”。 2024年应该是我们推进 DEIB 的一年,保持势头并推动积极变革。 简而言之,坚持到底——现在放松警惕将导致长期劳动力规划(WFP)的严重失败,同时增加代表性不足的社区的变革机会。 9.提升员工敬业度和留任率的新方法 最重要的是,许多提高员工敬业度的新方法将决定未来一年的企业发展。 2023年独特的经济困境催化了英国、法国、德国和美国这一代人中一些最大规模的工作场所罢工,而普遍的技能短缺继续困扰着多个行业。伯纳德·马尔(Bernard Marr)将过去几年从被动接受不良工作规范到主动采取行动的转变带入了敏锐的视角——“根据美国劳工统计局的数据,涉及1,000多名工人停工,比2021年停工人数多了近 50%”。 Unleash 进行的研究表明,绩效和生产力已成为2024年人力资源领导者的首要任务,从敬业度中夺得桂冠。但在混合时代,二者缺一不可。敬业度被渗透到组织的方方面面,而2024年是实现这一目标的一年。 在2024年,我们需要通过加强员工体验的个性化,通过真实、有意义的参与来提高生产力(和幸福感),David Green 强调这是他为 HR 培养倾听组织的第12次机会。然而,正如 Unleash 所强调的那样,“不仅要关注员工调查中的指标,还要分享员工故事,以真正了解数据对高管的意义”。 为此,人力资源、员工和领导层之间应该建立一种,在道德领导、薪酬透明度(正如 Culture Amp 正确强调的那样)薪酬差距报告以及 Mercer 所强调的值得认可的基础上的关系。 将敬业度与业务和个人成果联系起来至关重要。Mercer薪酬调查和数据业务负责人Chi Tran完美地描述了这一演变。 “新冠肺炎疫情之前起作用的管理方式不再有效......留住员工将是一个重点,这意味着在职业道路、技能再培训和技能提升方面优先考虑员工福利。我们还看到,雇主将更大比例的薪酬预算用于可变薪酬,这些薪酬可以根据业务绩效进行调整。 2024年及以后的人力资源趋势 作为各地人力资源领导者的缪斯女神,Hung Lee 在他的文章《2024年:决定人力资源领域的7个趋势》中说到: “员工体验不容小觑——对于许多组织来说,这将是一场文化革命”。 在2023年经济动荡之后实施新战略将非常困难,而整个组织的支持是关键。如果能注意到上述情况,我们相信人力资源团队可以确保他们的组织采取积极主动的方法来提高工作场所绩效、幸福感、敬业度,以及至关重要的留住优秀员工。 2024年——充满无限可能性的一年! 利用 Insight222解锁人员分析功能 在 Insight222,我们的使命是通过将人员分析置于业务中心并提高人力资源专业的技能来使组织变得更好。Insight222 人员分析计划®是您通往知识、网络和成长世界的门户。该计划专为人员分析领导者及其团队开发,为您提供创造更大影响力所需的工具、见解和关系。 随着人员分析的格局变得越来越复杂,数据、技术和行业道德越来越重要,我们的计划汇集了一百多个组织,共同应对这些挑战。 Insight222 同行会议是 Insight222 人员分析计划®的核心组成部分。它们允许参与者一起学习、交流和共同创造,最终提高人员分析可以为其组织提供的业务价值。 SOURCE MyHRfuture  
    Gartner
    2024年01月17日
  • Gartner
    2024年的HRTech:GenAI、分析和技能技术 In 2024, the field of Human Resources is experiencing a transformative shift with the integration of cutting-edge technologies such as Generative AI (GenAI), advanced analytics, and skills technology. This article by Dave Zielinski, featured on SHRM Online, delves into the evolving landscape of HR, highlighting the significant impact of these technologies on enhancing the employee experience, improving regulatory compliance, and revolutionizing talent management. Industry analysts and thought leaders share insights on the growing importance of GenAI in HR processes, the challenges of maintaining employee experience in cost-cutting scenarios, and the potential of predictive analytics in optimizing workforce planning. 接受SHRM Online采访的人力资源行业分析师、从业者和思想领袖表示,今年,人力资源职能部门将采用生成式人工智能 (GenAI),投资于提升员工体验的技术,并采用强大的预测分析和技能技术。 人力资源领导者将转向技术,这些技术不仅可以提高法规遵从性,还可以帮助其组织做出更好、更快的人才决策并重新定义工作方式。 有远见的公司将继续投资 EX 一些分析师预测,随着高管将注意力转向降低成本和提高效率,远离包容性、公平和多样性等问题,员工体验 (EX) 将在 2024 年出现“衰退”;灵活的工作安排;和员工心理健康。员工的工作选择将减少,雇主将收回一些影响力。 不过,尽管许多组织可能会在 2024 年减少或冻结 EX 支出,但专家对此类举措的后果提出警告。 JP Gownder 是 Forrester 的副总裁兼首席分析师。他在博文中写道,根据 Forrester 研究,66% 的技术决策者表示,他们将在 2024 年增加对 EX 或人力资源技术的投资,其中许多投资将旨在提高效率,而不是 EX 结果。 但逆流而上的领导者将在 2024 年获得实实在在的好处。 “通过开发成熟的 EX 计划,您的组织可以提高生产力、降低人员流失率并提高创造力,”Gownder 写道。 其他专家认为,足智多谋的人力资源领导者会在预算紧张的情况下找到投资 EX 的方法。 管理咨询公司光辉国际 (Korn Ferry) 首席人力资源官 (CHRO) 业务的高级客户合伙人丹·卡普兰 (Dan Kaplan) 表示:“人力资源部门将被迫在低迷的市场中保持参与度,甚至在成本削减和削减的整个过程中也不例外。” “这将是一场艰难的舞蹈,但最好的人力资源领导者会找到办法做到这一点。” 光辉国际 (Korn Ferry) 专门负责人力资源问题的高级客户合伙人胡安·巴勃罗·冈萨雷斯 (Juan Pablo Gonzalez) 表示,组织对 EX 的承诺在 2024 年不会减弱,但 EX 看起来会非常不同。 “EX 的本质可能会变得更加个性化,同时也会变得不那么个性化,”冈萨雷斯说。“例如,通过使用 Microsoft Office Copilot、Workday 和 Salesforce 等大型软件平台中已有的人工智能功能,雇主和员工已经改变了他们的 EX。正在发生的情况是,员工与技术的互动越来越多地取代了与人的互动,但与技术的互动已经变得更加适合员工的特定需求和情况。” 亚特兰大人力资源咨询公司 IA 的创始人兼管理负责人 Mark Stelzner 表示,虽然由于组织面临控制盈利的挑战,预算将在 2024 年重新分配,但良好的 EX 相关技术投资将继续为公司带来红利。 “我认为投资 EX 实际上会提高效率并降低成本,”Stelzner 说。“到 2024 年,我们可能会看到组织不断转向‘流程主导、技术支持’的理念。端到端流程的优化通常会导致诸如消除现有技术债务以及统一工具和技术等决策,以减少员工的困惑并优化个性化,从而减少集成良好的接触点。” Gartner 专门研究人力资源技术的副总裁分析师 John Kostoulas 表示,做出更具战略性的采购决策和改善现有技术生态系统的治理是改善 EX 的两个关键。Gartner 最近的研究发现,60% 的人力资源领导者认为他们当前的技术阻碍而不是改善了员工体验。 Nucleus Research 专门负责员工体验的研究经理 Evelyn McMullen 表示,仅仅为了提高效率而不是 EX 结果而设计的技术投资可能被证明是短视的。她指出,改进的 EX 通常会带来更好的绩效并降低与营业额相关的成本。 麦克马伦说:“考虑到劳动力市场和求职者优势的不断波动,减少 EX 预算的风险尤其大。” “当控制权不可避免地回到求职者手中时,保留 EX 投资的组织将能够更好地捕获和留住最优秀的人才。” GenAI 从实验转向加速采用 到 2024 年,通过更多地采用该技术,人力资源职能将从涉足 GenAI 转向更深的领域。 随着领导者制定更严格的 GenAI 治理计划以及使用该技术的风险开始降低,人力资源和招聘部门将越来越多地使用其 HRIS 平台中已有的 GenAI 工具来编写职位描述和面试指南、创建敬业度调查、开发培训课程、分析数据,并制定政策。 世界大型企业联合会 2023 年底对首席人力资源官的调查发现,61% 的首席人力资源官计划在 2024 年投资人工智能以简化人力资源流程。 分析师 Eser Rizaoglu 表示:“许多人力资源领导者的 GenAI 之旅仍处于起步阶段,但要么通过现有的人力资源技术提供商获得 GenAI 功能,要么到 2024 年中期购买新的 GenAI 工具。” Gartner 的人力资源研究和咨询实践。 Rizaoglu 表示,许多人力资源技术供应商仍在努力弄清楚如何充分利用 GenAI 的功能,同时平衡保护数据、确保有效治理和考虑道德因素的需求。他表示:“在实现这种精细的平衡之前,GenAI 能力在人力资源领域的大规模扩散将面临挑战。” Stelzner 表示,虽然去年 GenAI 带来了兴奋并刺激了人力资源领域的实验,但“冷酷的现实”是许多组织仍然没有准备好全力投入。 “到 2024 年,GenAI 采用率的任何增长都可能是渐进式的,包括更好地利用聊天机器人、增强员工沟通的个性化、更加关注人才招聘领域的可能性以及系统升级和实施测试的自动化。”他说。 埃森哲进行的研究发现,GenAI 有潜力改变组织 40% 的工作时间。“这并不意味着 40% 的工作岗位将会消失,而是反映了工作方式的转变,”负责该公司人力资源转型和交付实践的埃森哲董事总经理迈克尔·本亚明 (Michael Benyamin) 表示。“技术将取代一些任务,让员工在工作中变得更有生产力、更具创造力和效率。人工智能是人类能力的倍增器。” 随着 GenAI 开始增强或转变更多的工作角色,人力资源和学习领导者将需要创建敏捷的学习计划,以重新培训员工使用快速发展的 GenAI 工具的技能。许多工人几乎没有接受过如何使用该技术的培训。 Salesforce 于 2023 年进行的一项调查发现,62% 的员工表示他们缺乏有效、安全使用 GenAI 的技能。波士顿咨询集团的另一项研究发现,尽管该技术有望从根本上重塑他们的工作方式,但只有 14% 的一线员工接受过与人工智能相关的技能提升。 Benyamin 表示,随着 GenAI 在工作场所变得越来越普遍,人力资源部门必须帮助制定负责任和道德的人工智能使用政策,并制定培训计划来解决偏见、歧视、数据保护和适当数据使用等问题。 更加关注变革管理,提高新人力资源软件的采用率 专家认为,许多人力资源领导者将寻求通过采用变革管理策略来提高 2024 年技术投资的回报,例如确保员工使用新采用的技术解决方案。 人力资源面临的一项持续挑战是管理云技术供应商源源不断的更新和新功能,导致许多人力资源软件即服务 (SaaS) 许可证闲置。位于加利福尼亚州帕洛阿尔托的 SaaS 智能平台 Productiv 于 2023 年进行的一项研究发现,组织中 53% 的 SaaS 许可证总体未使用。 位于阿拉巴马州亨茨维尔的人力资源咨询和研究公司 Lighthouse Research 的首席研究官本·尤班克斯 (Ben Eubanks) 表示,许多组织低估了如何确保员工在新的人力资源平台和应用程序推出后定期使用它们。 “人力资源和人才技术不是‘按下开关就可以开始’类型的解决方案,”尤班克斯说。“但许多雇主仍然这么认为,并低估了采用该技术所需的行为改变。” 重新思考员工敬业度调查 更多的人力资源和执行团队将重新考虑如何创建敬业度调查以及分发调查的频率,以减少“调查疲劳”。 ServiceNow 高级副总裁兼员工工作流程产品总经理 Gretchen Alarcon 表示,随着组织继续努力寻找“秘方”,让员工在 2024 年更频繁地重返办公室,人力资源领导者将需要使用更有意义的方法测量工具。 她说:“组织将利用员工的声音调查和反馈来分析在办公室花费的时间与员工情绪和生产力的关系。” “这将使领导者能够根据数据而不是假设做出决策,这样他们就可以根据员工的需求、行为和提高生产力的因素来调整重返办公室 [RTO] 策略。” 从改进的技能技术中获益 转向基于技能的招聘和晋升策略的人力资源和招聘领导者将受益于技术的发展,例如使用人工智能和机器学习自动创建、组织和更新员工技能数据库的技能本体,从而显着减少体力工作量人力资源部要求。 下一代本体论和其他新兴技能技术可以使人力资源领导者更轻松地识别组织中的技能差距,然后相应地调整招聘或学习和发展计划。虽然市场上没有真正的端到端技能技术解决方案,但许多人力资源领导者正在将人工智能驱动的点解决方案结合在一起,以创建有效的技能数据库和评估工具。 “到 2024 年,随着组织采用技能智能技术,他们将开始认识到,这不是拥有最大的技能数据库,而是一个不断更新的丰富且互联的技能数据库,”Alarcon 说。她补充说,此类数据库使公司能够了解人才缺口是否是由于缺乏合适的人才或缺乏技能造成的,以及他们是否需要为未来培养、购买或借用人才。 预测分析工具变得更加强大 人力资源从业者和分析师认为,人力资源部门将受益于日益强大的预测分析工具,这些工具将改善劳动力规划和数据驱动的决策。 光辉国际 (Korn Ferry) 的冈萨雷斯 (Gonzalez) 表示:“凭借更大的数据集和改进的算法,人力资源部门应该能够采取一些措施,例如缓和过去几年的招聘盛衰周期。” 例如,冈萨雷斯表示,雇主不会雇佣数千名员工,然后在六个月后解雇其中一半,而是能够更好地预测在合理的时间内他们需要的员工数量和类型。他说:“然后他们可以雇用和培养一支更稳定的员工队伍,以造福所有组织利益相关者。” Stelzner 认为,许多人力资源部门由于没有充分发挥数据分析的潜力而错失了机会。他说,如果未能投资分析人力资源数据所需的工具和技能,可能会导致洞察力缺失,并阻碍人力资源战略与更广泛的业务目标保持一致的能力。 “从历史上看,人力资源部门也一直在努力解决数据的准确性问题,”斯特尔兹纳说。“这会影响该职能部门依靠报告和数据分析来通知和支持其决策的能力。更糟糕的是,企业的其他部门已经接受过培训,预计人力资源系统会提供有问题的数据,因此在数据清理、报告和分析方面还有很多工作要做,以重新获得整个企业的可信度。” Dave Zielinski 是 Skiwood Communications 的负责人,这是一家位于明尼阿波利斯的商业写作和编辑公司。 作者:Dave Zielinski
    Gartner
    2024年01月09日