Finding AI Gold With Lean Startup Techniques
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 →Making sense of agility, scaling, OKRs, product operating models, and leadership: written from 15+ years in the field.
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
Read more →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.
Read more →Don't ask whether you still need Sprint Planning. Ask whether you still have an alignment problem. Separating the mechanism from the capability is the whole game right now.
Read more →Why the rise of Forward Deployed Engineering is the next agility problem, and how to scale "unreasonable agility" without it eating itself.
Read more →Spec-driven development looks like a step backward if you read it as requirements theater. The better frame: the spec is a higher-level language for intent.
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