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| Criterion |  Growth A/B Testing |  Product Discovery MVP Test Matrix |  Growth Pirate Metrics AARRR |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 45-75 min | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan | AARRR funnel, Metric baseline, Experiment backlog | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions | GrowthMetricsExperiments | ValidationExperimentsDemandDiscovery |