Tight hypothesis → experiment → evidence → learning loop. Run after research has surfaced an opportunity.
hypothesisframework: build-measure-learnv0.1.0When to run it
When you have an opportunity (typically from the Discovery playbook) and need to validate the assumptions before building. Faster than full discovery.
What you'll have at the end
One or more hypothesis entities with measurable expectations, each connected to an experiment that tested it, the evidence that experiment produced, and a learning recording whether the hypothesis was supported, refuted, or remains uncertain.
Common starting point
Frame the riskiest assumption as a hypothesis: if we change X, Y will move by Z within W weeks. Design the smallest experiment that could falsify it.
Sequence summary
One step: run the validation creation sequence — hypothesis, experiment, evidence, learning.
Run the validation creation sequence: hypothesis, experiment, evidence, learning.