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| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Product Discovery Test Card |  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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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 | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 20-35 min | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Test Card with a pre-set threshold | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |