• Visier
    David Green: The best HR & People Analytics articles of July 2024 这个月的《数据驱动HR月报》由Insight222发布了他们的新研究报告《构建人力分析生态系统:运营模式2.0》。在Insight222庆祝成立七周年之际,团队成员们齐聚一堂,共同回顾过去的成就,规划未来的步骤,并庆祝这一成功。此外,本月的重点还包括我有幸在由Mercer组织的LinkedIn直播中担任主持人,主题是“AI时代的技能驱动组织”,并欢迎在上个月加入的2000多名《数据驱动HR月报》新订阅者。本期由Visier赞助。 在案例研究部分,展示了Experian如何通过Visier将报告时间减少了70%。Experian的数据分析团队曾在Excel和Oracle OBI-EE套件中花费大量时间,限制了战略工作。Visier帮助他们显著提高了效率,使其团队能够专注于发掘劳动力洞察力、赋能数据驱动决策,并建立数据驱动的HR文化。 此外,本期还讨论了SHRM在其DEI(多样性、公平与包容性)计划中移除“公平”一词的决定。这一决定在DEI受到持续攻击、许多知名公司撤回DEI承诺的背景下显得尤为令人震惊。一些评论认为,SHRM此举的动机可能是政治性的,而非其所声明的“通过强调首先包容性,旨在解决DE&I项目的当前不足,减少社会反弹和极化”。   I’m just about to go out on vacation in the South of France for three weeks (hurrah!) and with growing evidence that taking a vacation improves physical and mental wellbeing, I’m looking forward to having time to relax, reflect and recharge. Before I go, I’m looking forward to the release this week of our new Insight222 research study: Building the People Analytics Ecosystem: Operating Model v 2.0 (click on the link to register to receive a copy). Other highlights in July included: We marked our seventh anniversary at Insight222 by gathering the team together for a whole week to reflect on our achievements, plan the next steps and celebrate our success. I had the honour of moderating a LinkedIn Live on Skills-Powered Organisations in the Age of AI, organised by Mercer, with Ravin Jesuthasan, CFA, FRSA and Tanuj Kapilashrami. You can watch the recording here. Welcome to the more than 2000 new subscribers to the Data Driven HR Monthly newsletter, who joined in the last month. This edition of the Data Driven HR Monthly is sponsored by our friends at Visier CASE STUDY: How Experian Cut Reporting Time by 70% Struggling with manual reporting? Experian, a data analytics giant, did too. Their people analytics team spent hours in Excel and Oracle OBI-EE suite limiting strategic work. Visier slashed their reporting time by 70%. Read the case study. Now, their People Analytics team focuses on: Uncovering workforce insights Empowering data-driven decisions Building a data-driven HR culture Visier empowers our people to leverage data for better decisions Ready to unlock your people data's power? Read the case study. Visier Inc.: Make data-driven HR decisions. Easier. Faster. On-Demand. At Scale. 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. SHRM and the war on DEI I’m not here to beat up on SHRM, but their flabbergasting decision to drop ‘Equity’ from its approach to ‘Inclusion, Equity and Diversity’ seems to have achieved the notable feat of being universally unpopular. To take this decision at a time when DEI is under sustained attack from politicians and when a growing number of prominent companies are backtracking from previous DEI commitments seems peculiar to say the least. It has led some commentators to conclude that SHRM’s surprise move is politically motivated rather than being driven by their stated objective, which SHRM explained as: “By emphasizing Inclusion-first, we aim to address the current shortcomings of DE&I programs, which have led to societal backlash and increasing polarization.” Whatever SHRM’s motive if, as likely, this decision by such an influential body undermines DEI then it is not only unhelpful but bad for employees, bad for organisations, and bad for society. As Shujaat Ahmad writes in his coruscating analysis: Equity is one of the most clear, tangible measures for culture change on systemic discrimination. Without it, DEIB is lost in a maze of good intentions and half-baked commitments. Share the love! Enjoy reading the collection of resources for July 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 June’s compendium. If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders 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 - or by clicking on the image below. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK JENS BAIER ET AL - How Work Preferences Are Shifting in the Age of GenAI When it comes to GenAI’s impact on jobs, talent is aware but unafraid. Although only 5% think that GenAI will replace their jobs, 60% anticipate that they will need to reskill significantly. Most say that they will need help to understand what skills to build. For the first time since its inception a decade ago, BCG’s Decoding Global Talent study finds that job security is ranked by workers as their number one work preference (see FIG 1). Analysis revealed that workers who expressed concern about the impact of GenAI on their jobs were more likely to prioritise job security. They also recognise the importance of learning, with 60% of workers anticipating they will need to reskill significantly. As the study highlights, to attract and retain talent, organisations will need to solve a complex puzzle. They must anticipate the impact of technology on their workforce and offer robust reskilling programs to help employees stay competitive. (Authors: Jens Stefan Baier Orsolya Kovacs-Ondrejkovic Dr. Tobias Zimmermann Pierre Antebi Dr. Susan Gritzka Sacha Knorr Vinciane Beauchene Carmen Márquez Castro Zoë McFarlane Anja Bates Niharika Jajoria Julie Bedard and Ashish Garg). FIG 1: What workers value most in a job, 2014-2023 (Source: BCG) NICOLE SCOBLE-WILLIAMS ET AL - Generative AI and the future of work: Boundless Potential It’s ‘humans with machines’ and not humans or machines that will transcend leading organizations. An insightful and comprehensive report by the Deloitte AI Institute on the seismic impact of generative AI on the future of work. The report is structured into three chapters each designed to answer a key question. (1) What is generative AI and how is it being used? (2) What is generative AI’s likely impact on jobs? (3) What are the strategies to prepare organisations for change? There are a ton of insights, case studies and frameworks to learn from. Three that resonated especially with me were: (1) The explanation of the difference between work, jobs, tasks and skills (see FIG 2). (2) Guidance for organisations on how to break down jobs in the generative AI era. (3) The five-step framework for adopting a researcher’s mindset for human-generative SI integration: a) hypothesis formation, b) data collection and analysis, c) broad organisational experimentation, d) iterative testing and feedback, and e) strategy refinement. Authors: Nicole Scoble-Williams GAICD Diane Sinti Jodi Baker Calamai Björn Bringmann Laura Shact Greg Vert Tara Murphy and Susan Cantrell) FIG 2: Work vs Jobs vs Tasks vs Skills (Source: Deloitte) JUSTIN SHEMELEY, ANDREW ELSTON, AND JASDEEP KAREER - Transforming HR and People Analytics with AI AI helps us reclaim capacity for more complex workforce strategy questions. It enables us to identify internal mobility opportunities and conduct scenario planning and hypothesis testing. In their article, Justin Shemeley Andrew Elston and Jasdeep Kareer, PhD (née Bhambra), summarise some of the key takeaways from the recent Insight222 webinar I moderated on how AI is transforming HR and people analytics. The topics covered include: (1) The current landscape of AI in HR. (2) Short- and long-term impacts on the HR operating model. (3) AI’s role in workforce planning and development. (4) Essential Skills for Leveraging AI in HR. (5) How to build a strong foundation for AI adoption. The article also provides the answers to the questions posed by those that attended the webinar. You can access the entire webinar recording here: Transforming HR and People Analytics with AI. FIG 3: Demystifying AI in HR and People Analytics (Source: Insight222) RAVIN JESUTHASAN - Achieving the productivity promise of generative AI requires redesigning work When he coined The Productivity Paradox, Robert Solow outlined two fundamental reasons why new technologies often don’t deliver on their promise. First, early versions of technologies are often flawed and unsuitable for widespread adoption – this applies less to GenAI. In his thoughtful article, Ravin Jesuthasan, CFA, FRSA tackles Solow’s second reason, which relates to the architecture of work. He outlines that to address this issue, organisations need to undertake systemic work redesign through deconstructing the work, redeploying tasks and creating new ways of working. Ravin cites the six-step framework (see FIG 4) he advanced together with John Boudreau in their book, Reinventing Jobs, and describes the potential productivity gains arising as a result. FIG 4: Achieving the optimal combinations of humans, automation and AI (Source: Jesuthasan and Boudreau) PEOPLE ANALYTICS DELOITTE - 2023 High-Impact People Analytics Research Prioritizing PA customers means understanding their needs—and how those needs align (or don’t) with the function’s capabilities and broader business priorities. A new report by Eric Lesser Peter DeBellis and Marc Solow based on a 2023 study by Deloitte of more than 400 organisations across 18 countries presents a People Analytics Maturity Model (see FIG 5) and discusses six key findings. These are: (1) People Analytics has become an organisational imperative. (2) Data culture is the single biggest predictor of people analytics performance. (3) Tech investments mean nothing without human capability (and vice versa). (4) Today’s challenges demand more data from more sources. (5) An expanding customer base means new demands on the people analytics function. (6) People data is business data – treat it as such. FIG 5: High-Impact People Analytics Maturity Model (Source: Deloitte) CATHERINE COPPINGER - 4 New Ways to Model Work With the rise of distributed work, managers are being asked to work in a fundamentally different way than they’ve worked before In her article, Catherine Coppinger of Worklytics, discusses four new ways to model how work gets done – and how it could be done better: (1) Workday Intensity – see FIG 6 - (“We measure intensity as time spent on digital work as a % of overall workday span”). (2) Work-Life Balance. (3) Manager Effectiveness (“With the rise of distributed work, managers are being asked to work in a fundamentally different way than they’ve worked before”). (4) Sales Effectiveness (“With sales stalling, People Analytics teams are increasingly being asked to weigh in on what can be done to reaccelerate revenue growth”). For more insights on the manager effectiveness topic, listen to Catherine on a recent episode of the Digital HR Leaders podcast: How to Use Passive Data to Enhance Manager Effectiveness. FIG 6: Workplace Intensity: How do remote and in-office days compare (Source: Worklytics) PREETHIKA SAINAM, SEIGYOUNG AUH, RICHARD ETTENSON, AND BULENT MENGUC - The High Cost of Misaligned Business and Analytics Goals It is not only the level of analytics that matters, but also how aligned analytics capabilities are with business goals. What does success in analytics really mean and how should companies measure it? This was the mission of a study by Preethika Sainam Seigyoung Auh Richard Ettenson PhD and Bulent Menguc. While they found that creating a data-driven culture, adopting advanced analytics capabilities, and employing a well-developed data strategy were all important, the key ingredient is the degree of alignment between business goals and analytics capabilities. Their article presents findings from the study, the differences between misaligned and aligned companies, the cost of misalignment (see FIG 7) and how to measure alignment in seven areas: (1) Culture, (2) Alignment with strategy, (3) Leadership commitment, (4) Operations and structure, (5) Employee empowerment, (6) Proactive market orientation, and (7) Skills and competencies. FIG 7: The Cost of Misalignment (Source: Sainam et al) ANDRÉS GARCÍA AYALA - People analytics at the heart of AI’s successful workplace adoption | LEA MIKUS – Five Steps to Kick-Start People Analytics | WILLIS JENSEN - What Makes a Good People Analytics Metric? | RAJA SENGUPTA – 1000 Generative AI Prompts for HR | GUILLAUME LHOTE - The Role of Talent Intelligence in Pharma In recent editions of the Data Driven HR Monthly, I’ve featured a collection of articles by current and recent people analytics leaders. These act as a spur and inspiration to the field. Five are highlighted here. (1) In his compelling article, Andrés García Ayala, Group Head of People Analytics and Strategic Workforce Planning at Legal & General, discusses five reasons why People Analytics needs to be at the heart of AI’s successful adoption and implementation in the workplace. (2) In a LinkedIn post, Lea Mikus unveils five recommendations to kick-start people analytics in your organisation including getting started by focusing on answering one strategic business question through your people data. (3) In an edition of his excellent Making People Analytics Real Substack, Willis Jensen digs into what makes a ‘good’ and a ‘bad’ people analytics metric (see FIG 8). The secret? Ask yourself: “Can I make a line chart of the metric?” (4) Raja Sengupta provides an invaluable resource for HR and people analytics professionals in a 130 page booklet comprising 1,000 AI prompts for HR across ten HR topics. (5) Guillaume Lhote, Talent Intelligence Lead at Takeda, details the critical role of talent intelligence in the pharmaceutical industry – thanks to Toby Culshaw for highlighting this resource. FIG 8: Examples of HR metrics (Source: Willis Jensen) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE DAVE ULRICH - Update on HR Business Partner Model Continuing Evolution and Relevance In the last seven years, HR’s contribution to the business has evolved and is increasing. The HR contribution comes from individual HR professionals who have the competencies to fully engage in business conversations. The HR contribution also comes from HR functions, practices, and analytics increasing stakeholder value. There’s no one better informed to comment on the evolution of the HR business partner (HRBP) model than Dave Ulrich, given he coined and popularised the model in his seminal 1997 book, Human Resource Champions. In his article, Dave details nine evolutions that are combining to reshape and elevate the future role of the HRBP including these five: (1) People and organisation concerns have evolved to be more central to business success. (2) Talent has evolved to pay increased attention on worktask and meaning (see FIG 9). (3) Leadership has evolved to front-line leaders and emerging competencies. (4) HR delivery has evolved to AI–enabled HR (5) HR analytics has evolved from benchmarking to guidance. FIG 9: From ‘Workforce’ to ‘Worktask’ (Source: Dave Ulrich) SERENA HUANG - AI in HR: Missing the Forest for the Trees By focusing on strategic workforce planning, responsible and ethical AI, and clear ownership for AI adoption, HR can become the strategic AI champion the organization needs. In her From Data to Action LinkedIn newsletter, Serena H. Huang, Ph.D. bemoans the narrow focus of much of the discussion about AI in HR on automation and cost efficiency. Instead, Serena urges a bolder approach, presenting three ‘big-picture issues’ centred on organisational readiness that HR should focus on: (1) Strategic Workforce Planning (e.g. LinkedIn recently estimates that 55% of jobs will be augmented or disrupted by GenAI – see FIG 10). (2) Responsible and Ethical AI. (3) Clear Ownership: Who is Driving the AI Train? Thanks to Serena for highlighting the recent Digital HR Leaders podcast episode with IBM CHRO Nickle LaMoreaux in her article, where Nickle expanded on IBM’s Responsible AI policy and how this is applied to HR. You can listen to the whole episode here: How IBM Uses AI to Transform its HR Strategies. FIG 10: GAI’s expected effect on LinkedIn members’ skills globally (Source: LinkedIn Economic Graph Research Institute) CHIEF ETHERIDGE – 3 Strategies to Position HR for Innovation Only 28% of HR employees agree that their HR function encourages them to take risks, even if they result in failure. This risk aversion is a major obstacle to innovation. As the preface for this paper by Chief Etheridge for Gartner states, HR is under pressure to develop innovative solutions for a unique set of organisational challenges such as incorporating new ways of working, establishing digital workplaces, and leveraging artificial intelligence. The paper outlines three strategies HR can implement: (1) Define Innovation’s Value and Benefits to HR. (2) Embed Innovation Networks in HR (see FIG 11 for example from Toyota). (3) Establish Structured Innovation Process for HR (with an example from Fannie Mae). FIG 11: How Toyota directly infuses HR with expertise and skills (Source: Gartner, adapted from Toyota) WORKFORCE PLANNING, ORG DESIGN AND SKILLS MCKINSEY - Help wanted: Charting the challenge of tight labour markets in advanced economies Companies and economies will need to boost productivity and find new ways to expand the workforce A comprehensive study by McKinsey on how labour markets in the G8 countries are among the tightest in two decades and are set to get worse as workforce continue to age. The study is packed full of insights, visualisations and charts and is a must-read for anyone involved in workforce planning, recruiting, talent intelligence and people analytics. Four actions are recommended for companies and policy makers: (1) Focus on skilling and reskilling, including attracting talent from unconventional pools, offering more flexible work, and internal mobility. (2) Encourage foreign-born workers with programs to properly integrate them into the workforce (one to note given the hysteria about immigration in all of the eight countries in the study). (3) Shape retirement policies to encourage people to work beyond standard retirement ages and take steps to attract more women into the workforce. (4) Prioritise investment in AI and automation to unlock productivity. (Authors: Anu Madgavkar Olivia White Sven Smit Chris Bradley Ryan Luby and Michael Neary). FIG 12: 4 scenarios for GDP growth 2023-30 (Source: McKinsey) JORGE TAMAYO, LEILA DOUMI, SAGAR GOEL, ORSOLYA KOVÁCS-ONDREJKOVIC, AND RAFFAELLA SADUN - Designing a Successful Reskilling Program In today’s fast-changing work landscape, the ability to reskill will become increasingly vital to staying competitive. In this article, written as a follow up to their award-winning “Reskilling in the Age of AI”, Jorge Tamayo Leila Doumi Sagar Goel Orsolya Kovacs-Ondrejkovic and Raffaella Sadunshare the results of a reskilling survey that they conducted with chief human resources officers and business leaders, and discuss six paradigms on reskilling. These are: (1) Reskilling is a strategic imperative. (2) Reskilling is the responsibility of every leader and manager. (3) Reskilling is a change management initiative. (4) Employees want to reskill – if programs are attractive. (5) Reskilling takes a village. (6) To reskill successfully, you need to be able to analyse and measure the benefit of your interventions and investments. SKILLS-BASED ORGANISATIONS SPECIAL ALLIE NAWRAT - Standard Chartered: ‘The people agenda is a strong enabler of the performance of the bank’ | ALLAN SCHWEYER, BARBARA LOMBARDO, MATT ROSENBAUM, AND PETER SHEPPARD - The Long but Rewarding Journey to Becoming a Skills-Driven Organization | JOSH BERSIN - TechWolf Accelerates Corporate Skills Tech Market With $43 Million Round | MARC EFFRON - Is the Juice Worth the Squeeze? Questions About Becoming a Skills-based Organization | DELOITTE - The skills-based organization: A new operating model for work and the workforce Following the positive reaction to the MIT/Mercer study, Strategic Shift: Skills-Powered Organizations in the Age of AI, I included in the June edition of Data Driven HR Monthly, as well as the LinkedIn Live I participated in last week with Ravin Jesuthasan and Tanuj Kapilashrami, I thought it helpful to include a ‘special’ in the July edition of Data Driven HR Monthly on skills-based organisations. Six resources are included. (1) Tanuj Kapilashrami, Chief Strategy and Talent Officer at Standard Chartered, sits down with Alexandra Nawrat of UNLEASH to outline how the shift to being a skills-first employer is enabling business outcomes at the bank. (2) The Conference Board provides a compelling case study of Ericsson’s journey to becoming a skills-based organisation, which has seen skills become the language of the employee experience at the company (see FIG 13) – authors: Allan Schweyer Barbara Lombardo Matt Rosenbaum and Peter Sheppard. (3) Josh Bersin takes his cue from the latest round of investment in TechWolf plus the acquisition of SkyHive by Cornerstone by Cornerstone OnDemand to provide an overview of the burgeoning skills technology market as it moves from ‘pioneer stage’ to ‘early maturity’ (see FIG 14). (4) Marc Effron details 17 considerations for companies seeking to embark on the journey to becoming a skills-based organisation. (5) The Deloitte team of Susan Cantrell Michael Griffiths Robin Jones and Julie Hiipakka present their seminal operating model for a skills-based organisation (see FIG 15). FIG 13: Skills are the language of the employee experience at Ericsson (Source: Ericsson) FIG 14: Source – Josh Bersin FIG 15: The skills-based organization: A new model for work and workforce (Source: Deloitte) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING DERRICK P. BRANSBY, MICHAELA J. KERRISSEY, AND AMY C. EDMONDSON - New Hires’ Psychological Safety Erodes Quickly Psychological safety is not the default in any workplace, and those who need it most — newcomers — are also most vulnerable to losing it. Research finds that psychological safety is especially important for new hires as it enables them to overcome the challenge of admitting fallibility, tackle a steep learning curve and embrace new perspectives. So, it is concerning that in their new study, Amy Edmondson Derrick Bransby and Michaela Kerrissey identify a fascinating pattern: On average, newcomers joined their organisation with higher psychological safety relative to their more tenured colleagues, then lost it and waited years to reach levels comparable to when they arrived. Nevertheless, the study also found that departments with high psychological safety among colleagues help reduce that decline and facilitate quick recovery for new hires (see FIG 16). The article also discusses why newcomers are vulnerable to losing psychological safety and presents strategies to help preserve their early willingness to speak up. FIG 16: Contrast between employees in departments with high and low psychological safety (Source: Bransby et al) CHRISTINA BRADLEY, LINDY GREER, AND JEFFREY SANCHEZ-BURKS - When Your Employee Feels Angry, Sad, or Dejected Leaders must be able to respond in a supportive manner to the emotions of their employees. That requires them to learn how to handle others’ feelings in different contexts, be more aware of their own behavior, and hone their skills. If they can master those three things, the result will be a healthier, more successful organization. In their article for Harvard Business Review, three researchers from Michigan’s Ross School of Business provide a roadmap to leaders for providing employees with emotional support. As Christina Bradley Lindy Greer and Jeffrey Sanchez-Burks outline, the right response depends heavily on context, in particular, whether someone (1) is working on a time‑sensitive goal and (2) seems to be coping (see FIG 17). FIG 17: Figuring out how to respond to an employee’s emotions (Source: Bradley et al) LEADERSHIP AND CULTURE MICHAEL ARENA, ANDRAS VICSEK, JOHN GOLDEN, AND SCOTT HINES – Cultivating Culture in a Hybrid Context Because connections are more fragile in hybrid workplaces, it is increasingly important that managers understand the network dynamics of company culture. Many companies are concerned about the impact of remote and hybrid work on their culture. In their article, Michael Arena Andras Vicsek John Golden, Ph.D. and Scott Hines, PhD, explore how cultural behaviours form and spread across organisations in three work modes: a physical environment, a remote environment, and a hybrid model. They find that prominent cultural behaviours tend to cluster in discernible patterns in each of these modes. The article discusses ways – and provides examples – on how to restore bridges between teams, harness influencers to facilitate change, engage exemplars to model desired behaviours, and reengage the hearts and minds of employees, to improve collaboration, wellbeing and outcomes. One example in the article describes how a large consumer products company launched a series of in-person events to restore bridging connections between their teams in parallel with a reengagement strategy to rebuild their employees’ sense of owning the company’s purpose. This enabled the company to increase connections by 37 percent and positive energy by 20 percent. FIG 18: Shift of Positive Energy across Work Modes (Source: Arena et al) DANIEL STILLMAN - The Four Quadrants of Employee Performance In his essay, Daniel Stillman distils Shake Shack head honcho Danny Meyer’s Four Quadrants of Employee Performance to help explain how to harness the hiring, retention and development of talent to scale company culture intentionally. The four quadrants (see FIG 19) are: (1) Can and Will (“water these flowers”). (2) Can’t and Will (“coach them”). (3) Can’t and Won’t (“put the candle underneath their rear end”). (4) Can and Won’t (“The hardest one…”). For more from Danny Meyer, I recommend watching him in conversation with Adam Grant at the recent Wharton People Analytics Conference, where they discussed: The Hidden Potential of Frontline Workers. FIG 19: The Four Quadrants of Employee Performance (Adapted by Daniel Stillman from Danny Meyer) DIVERSITY, EQUITY, INCLUSION, AND BELONGING ROUVEN KANITZ, MAX REINWALD, KATERINA GONZALEZ, ANNE BURMEISTER, YIFAN SONG, AND MARTIN HOEGL - 4 Ways Employees Respond to DEI Initiatives In their article for Harvard Business Review, Rouven Kanitz Max Reinwald Katerina Gonzalez Anne Burmeister Yifan Song and Prof. Dr. Martin Hoegl present their research, which finds that employees respond to DEI initiatives in four ways (see FIG 20): excited supporters, calm compliers, torn shapers, and discontented opponents. The article outlines each of the four profiles, and provides guidance to managers on how they can use the typology to segment their employees, effectively understand the range of responses, and tailor specific interventions to address them. FIG 20: The 4 Ways Employees Respond to DEI Initiatives (Source: Kanitz et al) 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 July that I recommend readers delve into: RYAN WONG - With AI, HR Faces A Choice: Get Onboard Or Risk Getting Left Behind – Ryan Wong, CEO of Visier Inc., provides a compelling set of reasons why HR needs to embrace AI: (1) It helps source talent, faster. (2) It frees up HR to focus on strategic HR. (3) It unlocks people insights that drive the business. BEN WIGERT - The Strengths, Weaknesses and Blind Spots of Managers – Ben Wigert, Ph.D, MBA unveils the findings of a Gallup study to compare how managers think they are currently leading their team versus how employees say they are being managed (see FIG 21). Thanks to Hung Lee for highlighting in his Recruiting Brainfood newsletter. FIG 21: Current State of Management: Employee vs. Manager Perspectives (Source: Gallup) FRANCISCO MARIN - Unlocking the Power of Centrality Metrics in Organizational Network Analysis – Francisco Marin of Cognitive Talent Solutions breaks down centrality metrics, and how they can be leveraged to make ONA more actionable and impactful. CULTURE AMP - HR’s complete performance management guide – A hugely comprehensive Culture Amp guide on the what, the why, and the how of performance management. Thanks to Jodie Evans for highlighting. FIG 22: The building blocks of performance management (Source: Culture Amp) JOSEPH IFIEGBU - How do you ensure ethical practices in the implementation of People Analytics in your organization? – An insightful post – and meme (see FIG 23) – by Joseph Ifiegbu, CEO at eqtble, on people analytics, trust and ethics. FIG 23: Source – Joseph Ifiegbu PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): DAVE ULRICH, BOB EICHINGER, AND ALLAN CHURCH – The Science of Talent Management – In an episode of the Future of HR podcast, Dave Ulrich, Bob Eichinger and Allan Church, Ph.D. join host JP Elliott, PhD to discuss the ‘knowing-doing’ gap in talent management, and why skills-based organisations are an incomplete method of talent management. AARON DE SMET AND BROOKE WEDDLE - Gen AI talent: Your next flight risk - On an episode of The McKinsey Podcast, Aaron De Smet and Brooke Weddle talk to Lucia Rahilly about what workers who regularly use GenAI want most, as well as practical steps leaders can take now to keep them happy and engaged. KIM SCOTT - Radical Respect in Polarized Times: Strategies for Leaders – Kim Scott, author of Radical Candor joins Lars Schmidt in an episode of Redefining Work to discuss the workplace application of ‘Radical Candor’, and the genesis of her latest work and book – Radical Respect, intended as a precursor to her initial book. BRADFORD WILLIAMS - How People Analytics Can Transform or Destroy Your Workplace - Bradford Williams, Head of People Analytics at Northwestern Mutual, joins Christopher Rainey on the HR Leaders podcast to explore the pivotal role of managers in shaping culture, the impact of technology on HR, the significance of strong organisational networks, and the role of people analytics in enhancing business outcomes. RICHARD ROSENOW - People Data Supply Chain, One Model, and The Power of No – Richard Rosenow joins hosts Cole Napper and Scott Hines, PhD on Directionally Correct to discuss the people data supply chain and its impact on people analytics. VIDEO OF THE MONTH TIM PEFFERS – How to measure productivity For those of you who haven’t consumed Random Walks in HR, along with Heather Whiteman, Ph.D., Tim Peffers produces the best video blogs in the people analytics field. In this video, Tim builds on his premise that “people analytics will never deliver on its promise without being able to measure individual productivity”, by presenting his proposal to develop a new metric – Productivity Against Replacement (PAR), which as Tim explains is inspired by Bill James’ WAR (Wins Above Replacement) metric. BOOK OF THE MONTH MARTIN R. EDWARDS, KIRSTEN EDWARDS, AND DAISUNG JANG – Predictive HR Analytics: Mastering the HR Metric Having a third edition of a book published is an impressive achievement – and testament to the quality of material. In this third edition of Predictive HR Analytics, Martin Edwards, Kirsten Edwards, and Daisung Jang provide a clear, practical and accessible framework for understanding people data, flourishing with people analytics, and using advanced statistical techniques. Predictive HR Analytics has been adopted by more than 20 universities across the world as a core or recommended text in HR and business analytics courses, and it’s clear to see why. FROM MY DESK July saw the first four episodes of series 40 of the Digital HR Leaders podcast, which is kindly being sponsored by our friends at HiBob – thanks to Louis Gordon. Additionally, July also saw the publication of a new article in Workday’s Smart CHRO magazine. PATRICK EVENDEN - How people data empowers today’s CHRO – Writing for Workday’s Smart CHRO magazine, Patrick Evenden draws on my presentation from Workday Rising, where I discussed the need for CHROs to leverage people data and bolster their HR teams’ data literacy. Thanks to Sophie Barnes. JOHN WINSOR - Addressing the Global Skills Shortage with Open Talent Strategies – John Winsor, co-author of Open Talent and Chairman of Open Assembly, joined me to discuss the three-legged stool ‘Open Talent’ framework: internal talent marketplaces, external talent clouds, and open innovation. MAUREEN DUNNE - HR Strategies for Embracing Neurodiverse Talent – Maureen N. Dunne, Ph.D., author of The Neurodiveristy Edge, discusses why prioritising a neurodivergent culture is essential amidst the acceleration of digital transformation. NIRIT PELED-MUNTZ - Evolving Culture & Employee Experience in Fast-Growth Companies – HiBob’s Chief People Officer, Nirit Peled-Muntz, joins me to share HiBob’s remarkable growth journey, explaining how the culture has evolved, how the North Star of world-class employee experience has been maintained, and how the HR team has played a pivotal role in the development of HiBob’s technology platform. HEIDI MANNA - How to Create a Flexible Work Model That Enhances Inclusion and Employee Experience – Heidi Manna, Chief People Officer at Jazz Pharmaceuticals, joins me to share details about the company’s Flexible Work Model. She discusses why the company shifted to a flexible work model and the improvements seen as a result in hiring, employee experience and inclusion. We have a pretty strong belief that a flexible work model benefits the business and our ability to serve our patients, and it allows employees to have a better work-life integration experience as well. 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 500 roles – and has now been developed into a LinkedIn newsletter too THANK YOU Olimpiusz Papiez for explaining how we can optimise our organisation's structure for greater efficiency, which was inspired by my conversation with Armand Sohet on the Digital HR Leaders podcast episode: Painting the Future of HR with AI, Analytics and Curiosity. Huma HR for including the Digital HR Leaders podcast in their list of 10 HR Podcasts for the Summer, which also included podcasts hosted by Laurie Ruettimann, Damon Klotz and Lucy Adams. Thomas Kohler for including the June edition of Data Driven HR Monthly in his round-up of resources for HR professionals. Alejandra Barbarelli for recommending the June edition of Data Driven HR Monthly, and for her kind words about my content curation. Judy Albers for summarising some of the highlights from the June edition of Data Driven HR Monthly. Veronika Birkheim, whose post: “People analytics must be easy to use…” was inspired by the Digital HR Leaders podcast episode with Dirk Jonker: Driving Business Transformation with Advanced People Analytics K Nair for including me in his list of 11 Influential HR Leaders, which included others that inspire me including: Laszlo Bock, Adam Grant and Josh Bersin. Thinkers360 for including the Digital HR Leaders podcast in their List of Top Podcasts. Anastasia Mizitova, SHRM-SCP, CPCC for her post sharing a resource from a special edition of the Insight222 Digital HR Leader newsletter: Essential Summer Reads. Finally, a huge thank you to the following people who shared the June edition of Data Driven HR Monthly. It's much appreciated: David Balls (FCIPD) Mukesh Jain Amardeep Singh, MBA Phil Inskip Kalifa Oliver, Ph.D. Jacqui Brassey, PhD, MA, MAfN (née Schouten) Sophie Merckelbach Alison Doyle Gord Johnston MA, BHJ, BA, CHRP Asanka Gunasekara (PhD) Jayashree Shivkumar Andrews Cobbinah, MLPI, ACIHRM Henrik Håkansson Irakli Dadiani Jaqueline Oliveira-Cella Tamano Yamanaka Shay David Erin Fleming Louise Baird Bilal Laouah Jeff Wellstead Aravind Warrier Greg Newman Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Susan Knolla Danielle Farrell, M.A. Alison Ettridge Adam Tombor (Wojciechowski) Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Karla Chavez Gomez Jay Polaki⚡️ SHRM-SCP/SPHR Dan Riley Emily Killham Rashleen Kaur Arora Kouros Behzad Nick Jesteadt Ken Oehler Juan Ignacio Perez Collado Jose Luis Chavez Vasquez Deviprasad Panda Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Catriona Lindsay Debbie Harrison Neeru Monga Aurélie Crégut Faiza Tasneem(Associate CIPD) David Hodges Irada Sadykhova Yukiko Hosomi? David McLean Andrii Suslenko Gary Parilis Maria Alice Jovinski Erik Samdahl Tristan Hack Adam McKinnon, PhD. Kerrian Soong Dr. Peter Schulz-Rittich Timo Tischer Martijn Wiertz Shuba Gopal Martha Curioni Tobias W. Goers ツ Galo Lopez Noriega Patrick Coolen Brian Heger Hanadi El Sayyed Marcela Niemeyer Alicia Roach Dawn Klinghoffer Heather Muir Selina Millstam Dave Millner Dan George Nick Lynn Marc Voi Chiuli. (MSc. HRM. Assoc CIPD. MIHRM.) Ankit Saxena, MBA Volker Jacobs David Simmonds FCIPD Amit Mohindra Andrew Pitts Burak Bakkaloglu Malgorzata Langlois Isabel Naidoo David van Lochem Diane Gherson Marino Mugayar-Baldocchi Neha Asthana Irene Wong Jaejin Lee Anna A. Tavis, PhD Doug Shagam Geetanjali Gamel Matt Elk Tina Peeters, PhD Barry Swales Bob Pulver David Duewel Matt Higgs MBA FCIPD Meghan M. Biro Sebastian Knepper Kathleen Kruse Dorothy Dalton Kate Graham Laura Thurston Søren Kold Jacob Nielsen Ralf Buechsenschuss Nicole Hazard Tatu Westling Sue Lam Chris Lovato Joseph Frank, PhD CCP GWCCM Tom Morehead PCC,MBA,SPHR Ian OKeefe Lina Makneviciute RJ Milnor Nicole Lettich Mariana Saintive Sousa Jon Kirchhoff Roberto Amatucci Christopher Rosett Rebecca Thielen Morten Hartvig Berg John Gunawan Soumya Bonantaya MBA MS SWP Ronald Schep Daorong Lin Abhilash Bodanapu Morgan Baldwin Jack Liu Sanja Licina, Ph.D. Piyush Mehta Sebastian Kolberg Jaap Veldkamp Craig Starbuck, PhD Sukumaran Mariappan Felipe Jara Michal Gradshtein Dave Fineman Stephen Hickey Gal Mozes, PhD Agnes Garaba Emily Pelosi, PhD Kelly Satterfield Laurent Reich Brandon Roberts Lewis Garrad Danielle Bushen Nick Hudgell Andrew Kilshaw Higor Gomes Pietro Mazzoleni Marcela Mury Giovanna Constant Mia Norgren Ohad Geron 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.
    Visier
    2024年08月02日
  • Visier
    People Analytics:Introducing the Visier Path, a Proven Route to Business Impact Visier Path是一种策略框架,旨在指导组织通过人员分析的旅程。它汇集了十多年的专业知识和数千个成功部署的精华,为HR和业务领导者提供了一个清晰、易于访问的“地图”。该框架将人员分析活动和HR实践与CHRO的战略优先事项对齐,提供了一个灵活、经过验证的途径,以实现显著的业务影响。通过先锋类比,它强调了从原始数据到可操作见解的演变,确保组织可以根据特定目标和策略定制他们的旅程。推荐阅读这篇文章: The Visier Path is the framework we use to guide our cuhttps://www.visier.com/path/stomers to solve the people challenges they care about most. It’s a distillation of our deep people analytics expertise spanning thousands of successful deployments over a decade.  Here, VP of People Analytics, Ian Cook, explains what the Visier Path is, how it can help you, and why we’re sharing this “uniquely Visier” concept with the world.  Pioneering in people analytics Traveling through the Rockies on North America's West Coast is a stunning journey. The land is vast and varied. Driving through high peaks and dense forests, one cannot help but ponder the fates and fortunes of the pioneers who first attempted to travel from east to west. Their journey, likely slow and difficult, laid the foundation for current-day road journeys. We cruise effortlessly along a smooth, well-engineered, and clearly marked highway. Following the path created by others, we can be certain of a speedy trip to our destination. People analytics was once a new concept that had to be pioneered. Back in the late 90’s, academic institutions started to pursue the work that we now call people analytics. They saw the promise of studying the “digital records” of employees to look for trends that could benefit the whole organization. Flash forward to today: people analytics is now a well-established discipline, with commonly accepted approaches and a detailed understanding of how to build a successful practice. Visier played a pioneering role in making this happen. We were the first purpose-built analytics platform for people data, and we’ve supported thousands of organizations as they founded and scaled their PA teams. As an organization, we’ve gathered a lot of knowledge about how to get from A to B in people analytics. Now, our goal is to smooth and speed the people analytics journey for you. Introducing the Visier Path When you choose Visier, you get access to a vast amount of knowledge not available anywhere else. The Visier Path distills the wisdom from over a decade of experience into one straightforward “map” that’s accessible to HR and business leaders alike. Consider The Visier Path a guide that outlines exactly which people analytics activities and HR business practices are required to achieve a CHRO’s key strategic priorities. Guiding you toward the right business impact How, exactly, does the Visier Path help meet a CHRO’s objectives? It’s all about linking data and action. Too often, people analytics is dressed up in confusing language and seen as either an esoteric internal research project or an IT project focused on wrangling data. We believe people analytics teams should model their work in the same way as FP&A teams support the CFO. That is to say: they must provide ongoing information about the performance and behavior of the workforce so that leaders can make the decisions that will have the right impact. The Visier Path breaks down the steps needed for an organization to move from raw data to the right analysis, to tangible action that supports a business goal. The quality of that linkage—from data through to impact—is what separates the best people analytics teams from the rest. Every organization’s journey is different Every organization has different goals and strategies. That’s why we designed the Visier Path to be completely flexible depending on what’s important to you. While every company will start with the fundamentals (shown in yellow), the rest of your journey along the Path is completely bespoke. The Visier Path, your proven route to people analytics success. Click to enlarge. The Visier Path is arranged from left to right in order of increasing level of impact on the business. The Foundational Impact zone is about aligning on a single place where HR leaders, HRBPs, and managers can answer their people questions. The Drive HR Impact zone helps you target specific HR jobs to be done that are likely to be part of the CHRO’s agenda. Finally, the Drive Business Impact zone focuses on org-wide challenges that will directly affect the business’s financial performance. The proven approach The Visier Path is the proven, low-risk way to start your people analytics journey. It’s also the clear and effective way to evolve your practice as your capability increases and so does the demand for people analytics within your organization. The path takes the uncertainty out of buying, deploying, and scaling a people analytics solution, and ensures that your investment has measurable business impact. We hope you find our guide valuable and accessible. If you would like to understand more about The Visier Path, the collective wisdom it embodies, the practices that it supports, or the impact it can have on your business, please don’t hesitate to reach out—we'd love to hear from you.
    Visier
    2024年02月20日
  • Visier
    8个人力资源分析示例和实际用例 数据是强大人力资源战略的基石。这里有8个人力资源分析示例可以帮助您入门。 任何公司的最大目标之一就是利用员工的力量来改善他们的业务。人力资源分析旨在做到这一点。它可以帮助您收集和分析所有 HR 数据,准确显示您需要改进的地方。您如何使用此工具将取决于您的业务和目标。 以下是您需要了解的所有信息,以及一些人力资源分析示例,这些示例将使您从一开始就走上正确的道路。 什么是人力资源分析? 人力资源分析是收集、分析和报告 HR 数据的过程,以改善业务成果并就您的员工做出明智的决策。它包括与您的人力资源相关的所有数据,包括招聘时间、提高效率时间、保留率、敬业度等。 一些公司还使用人员分析和劳动力分析这两个术语。这些是相似的概念,但它们并不完全相同。顾名思义,人员分析处理与人员相关的数据。这可能代表员工,但也可能代表着公司以外的人,包括客户。 劳动力分析严格处理与劳动力相关的数据。员工、自由职业者、零工,甚至顾问都属于这一类。 所有类型的分析都有类似的目标:帮助企业对其员工和业务流程做出基于数据的决策。 如何使用人力资源分析 人力资源分析的成功秘诀不唯一。这完全取决于您的目标和策略。以下是帮助您走上正确道路的几个步骤。 1.定义你的目标。不要忘记让它们变得SMART——具体(S)、可衡量(M)、可实现(A)、相关(R)和有时限(T)。目标定义得越好,就越容易通过人力资源分析取得成功。 2.收集准确的数据。为了拥有数据而收集数据是没有意义的。选择符合您的目标、准确且最新的数据。您可以使用内部和外部资源、自动化工具或手动收集。 3.选择用于数据分析的工具。分析数据是人力资源分析的核心,但对于大多数企业来说,手动分析将是一项不可能完成的任务。选择一种易于与您的系统集成的工具,并帮助您加快和自动化流程。 4.数据分析。根据您的目标,您可以使用一种或几种类型的分析。选项包括: 预测分析,指导您预测未来与人力资源相关的结果。 规范性分析,帮助您了解实现特定目标所需的步骤。 诊断分析,可帮助您了解发生某些事情的原因。 描述性分析,提供历史趋势的摘要,以帮助您更好地了解当前趋势。 鼓励数据驱动的决策。如果您在决策过程中不使用数据,人力资源分析很快就会成为资源浪费。让数据成为您所有流程的一部分,从招聘到薪酬和绩效评估。 8个人力资源分析示例 有很多使用人力资源分析的方法。无论您选择预测性分析还是规范性分析,人力资源分析都可以通过多种方式为您提供帮助。 人力资源分析中的预测分析示例 预测性人力资源分析使用统计数据和历史数据来帮助您预测未来趋势。这里有几个例子。 1.员工流失率预测。了解什么可能促使员工辞职以及何时可能发生,这对任何企业都至关重要。通过人力资源分析,您可以了解哪些因素会影响这些决策,以便您可以利用数据并提高员工保留率。 2.绩效预测。在尝试创建程序以提高绩效时,您需要清楚地了解是什么驱使某人成为最佳绩效者。通过预测性HR分析,您可以了解您的计划成功的可能性,并创建能够产生真正影响的独家计划。 3.继任计划。要制定强有力的继任计划计划,您必须确定最有可能成为优秀领导者的员工。预测分析可以指导您进行选择过程,并帮助您创建成功的计划。 4.成功招聘。预测候选人是否会在某个职位上取得成功可以帮助您获得更好的人才。加强招聘流程可以提高绩效并加快生产力。 人力资源规范性分析示例 规范性分析使预测分析更进一步。预测分析向您展示了可能发生的情况。规范性分析可帮助您找出可以做些什么。这里有四个例子。 1.留住人才策略。了解员工何时以及为什么可能辞职是件好事,但如果您不想失去顶尖人才,就不能止步于此。规范性分析可以向您展示可以吸引员工的具体保留策略。 2.招聘策略。人才招聘是一个关键过程。这不仅是因为它的成本,还因为整个公司的成功都取决于它。规范性分析可以帮助您找到吸引顶尖人才、提高录取率等策略。 3.多元化和包容性举措。DE&I 不仅仅是一个流行语。这应该是每家公司的首要任务。使用规范性分析将指导您根据您今天所处的位置选择最佳的 DE&I 计划。 4.内部流动策略。员工喜欢与为他们提供横向和垂直流动机会的公司合作。通过规范性分析,您可以发现内部流动、指导等最有效的策略。 要衡量的人力资源分析指标 人力资源指标对于评估公司内任何计划的成功至关重要。它们会向你展示某件事的运作情况,它们是发现负面趋势的好方法。以下是要跟踪的四个人力资源分析指标。 雇佣时间。填补(或雇用)的时间是衡量您的人才招聘计划效果的绝佳指标。填补职位所需的时间越多,浪费的资源就越多,招聘计划就越无效。 员工流失率。此指标评估留存策略的成功与否。在使用预测性人力资源分析时,它特别有价值。它可以帮助您分析预测的正确性并相应地调整您的流程。 晋升和内部流动率。跟踪公司内部的垂直和横向移动速率。数字越高,您的继任计划和内部流动策略就越好。当员工可以晋升到新职位时,这表明您拥有健康的人才管道和大量的发展机会。 多样性和包容性指标。您可能已经猜到了,但这些指标向您展示了 DE&I 计划的成功。除了人力资源分析外,它们还可以帮助您创建更具包容性的文化,让每个人都感到受欢迎并拥有平等的机会。 使用人力资源分析的公司示例 了解好处以及如何使用人力资源分析是一回事。但是在实践中看到它总是比仅仅通过理论要好。让我们来看看一些成功实施人力资源分析的公司。 1. eBay 全球商务公司 eBay 使用人力资源分析和洞察力的一种方式是做出数据驱动的决策,以改善员工体验。Scott Judd,人员分析与技术高级总监分享道:“在许多方面,员工是任何公司拥有的最重要的资产,你需要数据来了解如何帮助他们留在你的公司并帮助他们进步。分析是利用数据推动这些讨论的好方法,并帮助让员工的未来更加激动人心,让客户的未来更加美好。” 通过在整个员工生命周期中使用人力资源分析,eBay 可以发现提高员工保留率的新方法,例如晋升、薪酬变化和职业发展规划。 2. Providence Providence使用人力资源分析来改进招聘策略。在紧张的劳动力市场中,他们的团队能够利用洞察力准确预测职位空缺,并主动招聘合适的人才,以确保他们在正确的时间让合适的人担任合适的职位,最终为公司节省了 300 万美元。 通过集中人员和业务数据,Providence获得了强大、易于理解的见解,企业领导者可以使用这些见解来做出影响劳动力和底线的明智招聘决策。 3. Protective Life Protective Life 使用人力资源分析来预测员工流动率,以减缓辞职速度,衡量 DE&I 进展,并让HR以外的企业领导者参与进来。人力资源分析与人力资源信息系统副总裁马修·汉密尔顿(Matthew Hamilton)说道:“将数据交到领导者手中并使数据民主化非常重要。很多变化发生在一线或中层经理级别。因此,将相关见解掌握在他们手中非常重要,这样他们就可以使用数据并最终利用这些变革杠杆来改善员工体验、增加工作多样性、提升人才水平和提高获取能力。” 通过使用 HR 分析并将人员洞察直接交到领导者手中,Protective Life能够为关键决策者提供影响业务绩效所需的见解。 Source VISIER
    Visier
    2024年01月31日
  • Visier
    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  
    Visier
    2024年01月17日