Hey Reader, Welcome to the 22nd edition of the 3-2-1 (check out previous issues here). This one started with a post from Jolene Skinner at MongoDB lamenting how the skills-based movement is distracting us from the real problem we need to solve. It charged my brain for the rest of the day. The problem, in five words: skills sit still, work doesn't. Let's get into it. 3 Things for Work (in L&D)Why the skills-based movement doesn't work for most companies (Jolene Skinner, LinkedIn)
Is the Juice Worth the Squeeze? (Talent Strategy Group)
Skills-Based Hiring: The Long Road from Pronouncements to Practice (Burning Glass Institute + Harvard Business School)
2 Things for LifeOrca headbutts a sunfish so hard it explodes (YouTube)
Japan has a new word for how hot it is (The New York Times)
1 Idea from MeSkills sit still. Work doesn't.Every company has a brilliant person whose best ideas die in meetings. A staff engineer at a late-stage company told me that three years ago, as a new hire, he'd quickly and correctly diagnosed that the engineering for the company's iOS apps was wrong. He then spent two years trying and failing to change it. He had every skill a taxonomy would measure: technical know-how, analysis, writing, presenting. But he pitched his solutions in the direct way he learned at his previous company, which earned him a reputation for being abrasive. Leaders shut down every proposal, so he stopped sharing them. In his view, the company lost years of improved app performance. He didn't lack skills. The problem was skills sit still. Work doesn't. Performance is what happens when a person applies what they know to this problem, with these people, in this culture. He admitted to me that he didn't ask "all the why, when, who, what to be able to properly pitch it." That's a judgment failure. Not about the code, about the situation: he misjudged the people, the culture, the sequencing, and how his ideas would land. He lacked judgment-in-context. As he put it: "If you can influence two out of five people in the room, you still failed. That's not critical mass." Another engineer who participated in our program at a different company had a similar experience. None of his colleagues were adopting his tool, so he tried harder to explain it. After going through the program, he learned to get curious about how other developers work, and by asking questions discovered his diagnosis was wrong. He changed what he built, and adoption followed. No persuasion necessary. His summary: "The skills that have gotten me [to my current role] are not what will get me to the next level." This is why hiring for and training skills alone doesn't work. Neither failure was a skills issue. What humans need is practice with peers, guided by a shared language, to develop judgment-in-context and the ability to influence others to take action. Sometimes we hire the smartest people with the highest proficiencies in the skills we think matter and expect them to perform. But 85 years of selection research says performance is best predicted by only two things: how fast people learn and whether they follow through. You can't train those two directly. What you can train is what they produce on contact with real work: judgment, empathy, self-awareness, the ability to carry a room. We've seen that these capabilities develop in the context they're needed and travel with the person. Stop auditing what your people know. Start looking at what happens when they apply it. That's where performance lives, and no inventory can see it. It gets built one way: reps. Real problems, real colleagues, a shared language for talking about what worked, and enough repetition that the judgment becomes theirs. Your company already has its version of the engineers in my story: right about a need to change, but stuck moving people to take action. Here's your move this week. Find that person. Put the problem they've been failing to move in front of a small group of peers, and have them work on it together, out loud. You'll learn more about your organization's real capability gap in that one hour than a skills taxonomy will tell you in a year. That's it for this week - enjoy your Sunday! I'll be back in two weeks βοΈ Andrew P.S. π I asked on LinkedIn who else is developing judgment with actual receipts to show for it. If someone came to mind while you read this, reply with their name. Especially if I don't know them. |
ICs can do more on their own with AI than ever before. This is both a challenge and an opportunity for L&D. This newsletter explores how to equip ICs with the influence skills that drive retention, accelerate OKRs, and position L&D as a strategic partner to the business. (Sent twice a month).
Hey Reader, Welcome to the 21st edition of the 3-2-1 (check out previous issues here). This one is about the most misunderstood idea in L&D, and why the way we use AI to write software is the wrong template for the rest of work. Let's get into it. 3 Things for Work (in L&D) A New Paradigm For Corporate Training: Learning In The Flow of Work (Josh Bersin) Where the phrase comes from. Bersin's 2018 original defines it as embedding learning content into the platforms where work happens, so you...
Hey Reader, Welcome to the 20th edition of the 3-2-1 (check out previous issues here). This one is about the highest bar a piece of learning can clear, and it has nothing to do with the score it gets. Let's get into it. 3 Things for Work (in L&D) Learning By Teaching (Curious Lion) The Feynman path to mastery: you don't really understand something until you can teach it. Where "each one, teach one" started for us, four years before two reps proved it on the job. π Effort β 4 min read...
Hey Reader, Welcome to the 19th edition of the 3-2-1 (check out previous issues here). One post on LinkedIn last week would not stop moving. It was about AI making your people more productive and more likely to quit. Ninety thousand people saw it, and the comments improved my thinking on it. The version they argued me into is the one idea below. Let's get into it. 3 Things for Work (in L&D) In the workforce, AI is having the opposite effect it was supposed to, UC Berkeley researchers warn...