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| Criterion |  Product Discovery Working Backwards |  Product Discovery Experiment Canvas |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | 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 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 4-8 h, mehrere Iterationen | 30-60 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-6 | 1-5 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | VisionNarrativeAlignment | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |