Category: Lean UX
-

What “done” means when you’re shipping AI features
AI broke the old definition of “done.” You’re no longer shipping vending machines—you’re shipping probabilistic behavior distributions.
-

Customer development has an AI problem.
When AI produces more MVPs in less time, teams get overwhelmed. Instead of learning more, they outsource to AI, losing…
-

Three Habits That Beat AI Tool Fluency
AI tools generate polished options in minutes. The teams that win in that environment aren’t the ones that prompt the…
-

What If We Prompted AI for Outcomes Instead of Outputs?
You can prompt AI to ship features. You can’t prompt it for outcomes — and that’s the discovery gap your…
-

Strong opinions, loosely held — and what that means in the age of AI
“Strong opinions, loosely held” is a cornerstone of good product thinking. AI changes who’s forming the opinion. Here’s what that…
-

AI Rewards Being Wrong Faster. Your Organization Doesn’t.
AI is exponentially accelerating learning. Your company isn’t interested in that insight. Here’s how to deal with that.
-

AI Made Relationships, Not Features, the Last Defensible Advantage
AI commoditized features. The last defensible moat is the relationship you build with customers — through history, context, trust, and…
-

AI rewards provisional decisions, not perfect ones
More than ever, AI now makes ship fast, learn fast the only way to survive in the market — even…
-

From debate to demonstration
Our debates used to argue over direction, now we can use those same conversations to decide what we need to…
-

Confusing artifact quality with certainty
AI can help us produce beautiful output fast! That doesn’t mean it’s a high-quality output. Experiments build validity into our…