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| Criterion |  Product Discovery Opportunity Solution Tree |  Business Strategy Ansoff Matrix |  Product Discovery Fake Door Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. | 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. | 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 | Medium | High |
Timedifferent | 1-2 h Setup, laufend | 45-90 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-6 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Ansoff Matrix, Growth Options, Risk Notes | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | GrowthStrategyMarketPortfolio | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |