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I was walking Nina home from a friend’s house, thinking about Annie Duke’s Thinking in Bets, when it hit me: every choice we make is a bet.
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I teach a class called Design for Behavior Change.
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Years ago I was at a Web 2.0 conference in New York, sitting next to a young guy with the sweetest baby face.
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Often when I help a company roll out OKRs, the same thing happens.
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I’ve been thinking about scale the same way I’ve been thinking about speed: as something Silicon Valley treats like a moral good when it’s actually just a strategic choice.
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I was reading a post on Anthropic’s blog about AI product management, and the author talked about speed as if it’s a virtue.
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There’s a Cold War that runs through almost every product team.
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People find out I read twenty-three AI newsletters (and unsubscribed from as many more) and immediately ask the same question: which ones should I read?
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Last month a product designer showed me her new prototype.
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Last night at the Lean Product Meetup someone asked me, “How do you set Key Results when you don’t have a baseline?”
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Last week I found myself vibe coding a personal OKR app.
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You know what’s ridiculous?
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A few years ago, I stumbled across a formula from Kurt Lewin, a psychologist working in the 1930s and 40s: B = f(P, E) Behavior is a function of the Person and the Environment.
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Last quarter I watched a Stanford student conduct her first user interview.
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It’s January, and millions of people have made the same resolution: “Eat better.”
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Last week Anthropic released findings from their new AI Interviewer tool.
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Yesterday, Sam Altman declared a “code red” at OpenAI.
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Last week, Google released Nano Banana Pro, their latest image generator.
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There’s an old circus act where a bear shuffles around on its hind legs.
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I got asked again last week: “What’s the difference between KPIs and OKRs?”
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Most product teams plan for success, which makes sense until you realize that planning only for success is how companies end up surprised when things go sideways.
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Context Engineering for Non Engineers “Prompt engineering is dead,” the podcast guest said.
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I’m teaching CS177 Human-Centered Product Management in the fall.
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When I tell people my kid is heading to Sarah Lawrence for a liberal arts degree, I get that look.
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When AI researchers started obsessing over “taste” last year, I had to laugh.