Discovery Is De-Risking, Not Requirements Gathering
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.
Read more →Making sense of agility, scaling, OKRs, product operating models, and leadership: written from 15+ years in the field.
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.
Read more →Token-maxing mandates produce AI theater: lots of activity, no change in impact. Invite people instead of inflicting AI on them, and ask what becomes possible once engineering stops being the bottleneck.
Read more →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.
Read more →AI work pays off when it starts from a real business constraint, not a tool wishlist. Run a small test and check the problem is worth solving.
Read more →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.
Read more →The flattening pitch assumes your teams can deliver an outcome alone. Most cannot. Agents make them faster, not necessarily independent. Here is how agents CAN help you accelerate the descaling process
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