Your Kanban Board Ends Too Early
Most Kanban boards stop at release, which quietly teaches teams that deployment is success. If you want impact, make outcome and impact visible in the flow.
Most Kanban boards stop at release, which quietly teaches teams that deployment is success. If you want impact, make outcome and impact visible in the flow.
Most organizations execute projects well and realize value poorly. Reframe discovery as de-risking — plus a decision rule and an interactive tool to try it.
Value and risk are correlated almost everywhere. You cannot remove the risk that comes with real value, but you can de-risk it efficiently. That is agile.
Most AI efforts start with tools and demos. Better to use product discovery to aim AI at a real business constraint and test the riskiest assumption first.
When AI coding raises the arrival rate of pull requests, telling reviewers to work faster is the wrong move. Fix reviewability and end-to-end flow instead.
AI vibe coding gets frustrating inside the wrong operating system. It gets traction when the organization can turn experiments into business results.