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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Assumption Mapping |  Product Discovery Fake Door Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | Medium | High |
Timedifferent | 1-2 h Setup, laufend | 45-60 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Assumption map, Test backlog, Risk ranking | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tags1 shared | GrowthMetricsExperiments | AssumptionsRiskExperimentsValidation | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |