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| Criterion | ![]() Product Discovery Opportunity Solution Tree | ![]() Business Strategy Ansoff Matrix | ![]() Growth A/B Testing | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-2 h Setup, laufend | 45-90 min | 1-4 Wochen | 45-75 min |
Participantsdifferent | 2-6 | 2-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Ansoff Matrix, Growth Options, Risk Notes | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | GrowthStrategyMarketPortfolio | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions |



