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| Criterion |  Product Discovery Experiment Canvas |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 30-60 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tags2 shared | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |
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