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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Smoke Test |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 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 | Medium | Low | High | Medium |
Timedifferent | 1-2 h Setup, laufend | 1-5 Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | Nutzertraffic | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tags1 shared | GrowthMetricsExperiments | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |