Lens
What mechanisms shape what gets built, learned, adopted and valued?
24 articles in this Lens
Rituals are in place, delivery is steady, yet no one can answer why we're building. The logic layer has faded: discovery doesn't shape backlogs, strategy doesn't guide tradeoffs, output eclipses outcomes. Reconnect intent to action by making reasoning visible in every decision. Think with intention.
Read articleYou talked to users and did research, but the system forgets. Discovery Debt is rotting context: insights learned, then lost. Work ships, learning vanishes. Fix it by wiring memory into decisions and backlogs so every ticket ties to evidence, assumptions, and outcomes. Make learning visible Always
Read articleWhen urgency replaces logic, roadmaps become theater. Frameworks and scores look right, but escalation wins, decisions shift, and PMs broker backlogs. Real prioritization means framing problems, making trade-offs explicit, linking to strategy, and empowering 'not now' with a clear why. Make it real.
Read articleWhat happens when a subscription adds a meter you may never hit? The price may not change, but the product does. A reflection on pricing, optionality, trust and the customer contract.
Read articleA price looks like a number. Underneath it is a set of assumptions about value, demand, behavior and economics. It also decides who carries the uncertainty when those assumptions meet reality.
Read articleAI slop may not be failing. It may be doing exactly what the system rewards: filtering for audiences who tolerate it. What looks like poor execution can become a rational outcome of the objective function, incentives and distribution model.
Read articleA personal coding experiment turned into a loop of model-created fixes. When I pushed back, the answer was: "I was wrong. No fix needed." I had used my entire daily allocation on a problem the model introduced. With LLMs, the meter also runs on failed reasoning. Human attention is not free.
Read articleWhen AI pricing moves from output to exploration, every prompt becomes a small purchase decision. The question is no longer only what AI costs to run, but where the meter belongs in the product experience.
Read articleDiscovery is no longer only about screens, workflows, and backlog items. It is about finding the shortest path to a solved problem across software, AI, data, physical interaction, automation, and human behavior. That is the new material. Not a tool. Access.
Read articleMost ideas don't die because they are bad; they die when momentum breaks before testing. AI shrinks the gap between thought and test, creating a Momentum Wave where natural language lets anyone prototype. But beware: speed without customer validation is just fast failure.
Read articleCrazy Eights is more than sketching. Used well, it creates options, distributes participation and improves team judgment.
Read articleShipping is overhead; adoption is the asset. In B2B, features stick and removal is costly, so prevent bloat. In B2C, unused features fuel silent churn. AI can surface adoption signals, not define value. Lead by asking: what delivers outcomes, not what shipped. Treat non-adoption as debt. Measure it.
Read articleFrameworks focus attention but don’t decide. Used well, they clarify; used poorly, they paralyze. AI multiplies the noise with context-free models. Leadership must choose one lens per decision, declare boundaries, and decide. Tools assist. Judgment creates clarity. Choose focus over complexity now.
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