Insights, updates, and deep dives into AI-native product development and how we’re building the future of PM tools.
A product strategy that does not fit on one page is not guiding decisions. The strategy canvas distills diagnosis, bet, and tradeoffs into something a team can actually remember.
Practical guides, product frameworks, and Specky updates — sent when it’s worth your time.
As product teams scale, decision velocity drops because informal coordination breaks. The fix is a product operating model and connected context, not more headcount.
AI now does the PM grunt work, promoting technical PMs from executor to orchestrator. The AI-native loop, where it wins, and why connected data is the prerequisite.
Every roadmap is a stack of untested assumptions. Assumption mapping surfaces the load-bearing, unproven bets and tells you what to test first, before you waste a quarter.
A pre-mortem assumes your launch already failed and asks why, surfacing the risks confident planning meetings miss. Here is how to run one and turn it into a living risk radar.
Product-market fit is a number you can measure, not a feeling. The Sean Ellis 40% test, Superhuman's PMF engine, and how to deliberately increase your score before you scale.
The honest answer to the hottest debate in product: AI will not replace PMs, but it is replacing most of what PMs do all day. Here is how to stay on the right side of it.
95% of enterprise AI pilots produce no measurable ROI. The failures share one root cause — skipped product judgment. Why they fail and the evals + outcome focus that fix it.
Search, recommendations, and AI assistants now judge your product before a human does. Product explainability is the new distribution — and most products are illegible to machines.