A step-by-step framework for building product judgment through human-in-the-loop evaluation.
AI removed the friction that used to train product managers. This framework puts it back deliberately.
It gives senior PMs a structured approach for running evals with junior PMs as active participants. It gives junior PMs a clear picture of what is expected at each stage and what evidence demonstrates readiness to advance. It gives organizational leaders a model for what skill-building in an AI-native product team actually requires.
Five stages. Evidence-based progression gates. Built to be run repeatedly as complexity increases.
Free to use and share with attribution.