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| Criterion |  Product Discovery Opportunity Solution Tree |  Growth Pirate Metrics AARRR |  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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | 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 | Medium | High | Medium |
Timedifferent | 1-2 h Setup, laufend | 1-2 h Setup, laufend | 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 | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan |
Tags1 shared | DiscoveryOutcomesExperimentsOpportunity | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions |