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| Criterion | ![]() Product Discovery Fake Door Test | ![]() Business Strategy Ansoff Matrix | ![]() Product Discovery Experiment Canvas | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. | 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 1-5 Tage | 45-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 2-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Ansoff Matrix, Growth Options, Risk Notes | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandDiscovery | GrowthStrategyMarketPortfolio | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |



