• Performance reviews
    HR:清醒吧!员工更信任AI而非HR 多年来,我一直是HR的支持者和朋友。在与HR团队的每次交流中,我都对他们的热情、投入和善意印象深刻。然而,尽管我们尽了最大努力,一项针对851名职场专业人士的最新调查发现,“员工更信任AI,而非HR。” 什么?这怎么可能? 在你否定这个结果之前,让我解释一下数据。这并不像表面看起来那样简单。 数据揭示了什么? 1. AI被认为更值得信任 当被问到“你更信任AI还是HR专业人士”时,54%的受访者表示更信任AI,而27%表示更信任HR。这个数据虽然听起来奇怪,但实际上反映的是“信任”的问题。员工知道经理有偏见,因此任何由HR提供的绩效评估、加薪或其他反馈可能都会受到某种偏见的影响(甚至是近期偏见)。 而AI没有“个人意见”。在基于真实数据的情况下,它的决策往往更“值得信赖”。65%的受访者相信AI工具会被公平使用。 这很合理:我们已经从认为AI会毁灭世界的担忧中跨越了鸿沟,现在更多地将其视为统计和基于数据的决策系统。而且你可以问AI“为什么选择这个候选人”或“为什么这样评估这个员工”,AI会给出精准且明确的答案。(而人往往难以清楚地解释自己的决定。) 2. AI已被信任用于绩效评估 尽管目前市场上可用的AI绩效评估工具还很少(如Rippling的工具),但39%的受访者认为AI的绩效评估会更公平,33%认为基于AI的薪酬决策不会有偏见。同样,这很可能是因为AI能够清晰地解释其决策,而管理者往往依赖“直觉”。 3. AI更受欢迎作为职业教练 当被问到“你是否重视AI工具在职业目标设定方面的指导能力”时,64%的受访者表示“是”。这再次表明员工对反馈和指导的需求,而这是许多管理者做得不够好(或者不够开放)的地方。 这不是对HR的否定,而是对管理者信任度的质疑 对我而言,这些数据揭示了三个重要点,每个都可能让你感到意外: 1. 员工对管理者的决策能力存疑 我们并不总是信任“管理者”在招聘、绩效和薪酬方面做出公正、不偏不倚的决定。员工知道偏见存在,因此希望有一个系统可以更公平地选择和评估他们。 2. AI从“令人恐惧”到“被信任”的转变 我们已经跨越了“AI令人害怕”的心理鸿沟,开始更多地将其视为可信赖的工具,这使得企业可以更大规模地将AI用于人事决策。 3. HR需要迅速适应AI时代 对于HR部门来说,前进的方向已经明确。我们现在必须立刻学习AI工具,将它们引入最重要的HR领域,并投入时间去管理、培训和利用这些工具。 关于HR赢得信任的能力,现在的逻辑变成了这样:公司内部支持和信任的建立将越来越依赖于HR如何选择和实施AI系统。员工的期望很高,因此我们必须满足这些需求。不管你喜欢与否,AI正在改变我们管理人的方式。
    Performance reviews
    2024年11月21日
  • Performance reviews
    Don’t Be A Copy-Cat: People Analytics as the Antidote to HR Strategy Copy-Cats This article is written to discuss: why copying the HR practices that everyone else uses doesn’t lead to the positive outcomes you assume it will. DISCLAIMER: If you like the HR strategy at your organization, you can probably stop reading now… If not, feel free to keep reading. Context Childhood wisdom: No one likes a copy-cat. We all remember being children once. Kids are known to tease each other from time to time. One common reason to be teased when you were a child was being called a “copy-cat”. It didn’t feel good, often because we knew that if we were labeled a copy-cat, it was likely true. We were copying someone else. It felt bereft, unoriginal, and commonplace. We knew we were capable of being more, but we had settled for less. We were better than that. HR strategy can be better than that too. Fast forward to the present, in HR being a copy-cat is all the rage. A priestly caste of HR influencers, HR tech consultants, FAANG companies, and sometimes even academics determine what is considered ‘en vogue’ as an HR strategy. Then, early adopter HR departments fall in-line; followed by the early majority and late majority after a few HR monkeys get “shot into space” without injury. The laggards may never arrive because they are still trying to move away from using paper files stuffed in filing cabinets, but nonetheless, being a copy-cat all the sudden became cool. Why be original when you could be doing what everyone else is doing? Perhaps, this is why Forrester is forecasting an EX winter coming soon… In the African savanna, large numbers of herd animals, such as wildebeest, zebra, and gazelles, travel in packs. Why do they do this? Because there is safety in numbers. A zebra with a single imperfection or mark is easily identified and pulled from the pack by predators. Is the same true for HR? Are we safer in a pack? Is there wisdom in being a copy-cat? Would anything different make us stand out and therefore be put in danger? I think not. I think the opposite is true, in fact. If you do all the same things as your competitors, how can you expect to get different results? Does this HR strategy sound familiar? “We’re going to try to hire the best talent, but only pay at the 50th percentile.” “We’re a performance-driven organization, but we’re going to do performance reviews once a year on a 5-point rating scale, and we’ve got to implement a pay-for-performance incentive structure.” “Our HR operating model is to use HR Business Partners, Centers of Excellence, and Shared Services.” “We’re going to copy what Google did 10 years ago, or what GE did in the 80s.” “We’re going to make data-driven decisions. I know! Let’s create another HR dashboard.” If your organization wants to be radically better, it’s going to have to try some things that are radically different. Did anyone see Coinbase’s recent blog on Talent Density? I’m not saying I agree with the changes to their HR strategy, but at least they are trying to differentiate their HR strategy to be something different. They are getting into the game, for better or worse. Source What To Do, What To Do? HR strategy should be composed of elements that are as unique to your business as your business strategy is unique to your business. It’s really as simple as that. HR Strategy is upstream of people analytics. A vanilla, copy-cat HR strategy is going to lead to vanilla, copy-cat people analytics. In my opinion, people analytics doesn’t spend enough of its resources trying to familiarize itself, influence, and control HR strategy. People analytics should speak in the social currency of the organization. We should embed ourselves and influence key decision making, and have a seat at the table by speaking in the language of the business. There is social capital to be had, and the more I learn, the more I realize the necessity of this alternative currency. We should drive strategy. With generative AI disrupting the value that human capital brings to organizations, who are the organizations that are going to be the innovators of tomorrow? Who are the organizations who will get the message early? Who will treat the need for differentiation with the existential demand that it dictates? Who will survive? Source “Best Practices” I’m tired of the term ‘best practices’. I’m at a point in my career where I bristle when I hear someone say it. Perhaps it's one of the reasons why some people hate HR. Organizational research is important, but best practices are a road to mediocrity. No one ever got fired for going with IBM, and no one ever got fired for using best practices… Until the whole firm loses to its competition, and everyone gets fired. Read it again, and think about that. It’s a short-term vs long-term thinking dilemma. Obviously, balance the two, but make sure to think with the long-term in mind. What if instead of copy-catting, you: A/B tested your HR strategy against those of other firms Used opposition research to understand your competitors HR strategy better, so you can do something different Implemented evidence-based practices on commoditized work, but experimented with firm-specific practices in the most strategically-relevant work Focused on first-principles thinking as to how firm value is derived by its talent Choose function over fad, when it comes to HR strategy Rebuild HR strategy like the Oaklands As (and the Houston Astros) tore down and rebuilt their teams based on talent derived from data. Embed data, measurement, accountability, and the “improvement feedback loop” into every single workstream that HR engages. Henry Ford once said “if you always do what you’ve always done, you always get what you’ve always got.” HR could be convicted of being mediocre. Average is over (or maybe even above average is over?). Differentiation is king. Strategic neglect (i.e., neglecting things that don’t add value) is also a valuable tool. Where do we need to be world class? Where can we be average? Answer those questions, then execute. Source Rebuilding HR Around Data & Measurement In most HR functions, data is only used to validate, not to guide. No one thinks for themselves. Mimicry and mimesis abound. People analytics is a competitive advantage for firms who use it properly. People analytics is the future of HR. Proclamations such as this have been made consistently in the past (e.g., HR is over, remote work is the future, there is no need for management, human tasks at work will be automated with AI, etc.), but this one is for real. Firms who are not embedding data into the way they do business, evaluating what they do with data, and projecting the future with data are going to be irrelevant. In the future, even in the age of generative AI, there is only one currency, and that is truth. Truth can only be derived as data put into practice. Classical test theory states that all measurement is “truth-plus-error”, with error being any deviation between measurement and the truth. Some stakeholders believe that to mean that truth can never be attained because error will always exist. Practically, this is a misinterpretation. Organizations that can manifest the best data with the least error will be the closest to truth, and therein lies the root of competitive advantage via data. People analytics is not inherently useful. Data is not inherently useful. Only accurate data, with analysis and cogent results, derived into a form that facilitates timely and accurate decision making, and that is put into action, is useful. And across the aggregate of thousands, if not millions of small decisions made leads one organization to prevailing over another. May the odds ever be in your favor. Source Moving Forward “Traditional HR” has been on the way out for decades. This article is for HR people who believe in challenging the status quo. Deep down they know there is a better way; a way forward for their organization. To not outsource their originality to others. To not be a copy-cat. Let’s focus on what the pathway forward looks like with a new highest principle – no longer “what is everyone else doing?” – but with data and measurement at the center. This article is for the HR professional who knows that HR can be smarter, faster, and better at their organization, and they are bound to make it happen. Join the movement. Don’t be a copy-cat. Let’s see how high we can fly together. PS - I’m thinking of writing a book on this topic. If you’re a publisher and you are interested in this topic, or others I’ve written about before, please contact me directly. Special shout out: Thanks to Brad Harris & Pat Downes for our previous conversations on this topic. I hope you like this article. If so, I have a few more articles coming out soon. Stay tuned. If you are interested in learning more directly from me, please connect with me on LinkedIn. Cole’s recent articles What’s Old is New: The Quest for Excellence in Workforce Planning A Historian, Demographer, & Data Scientist Walk Into a Bar… The Phoenix & The Dragon Why Buy When You Could Rent: SEC’s Push for Human Capital Disclosure Elephant Hunting: Weighing Human vs. Algorithmic Input to Decision Making For access to all of Cole’s previous articles, go here. By: Cole Napper 原文来自:https://directionallycorrectnews.substack.com/p/dont-be-a-copy-cat-people-analytics
    Performance reviews
    2023年11月30日