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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Fake Door Test |  Growth Growth Experiment |  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 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | 1-5 Tage | 1-2 Wochen | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Click Data, Interest Signal, Learning Decision | Experiment card, Result summary, Next bet | Experiment results, Decision log, Learning summary |
Tags1 shared | GrowthMetricsExperiments | ValidationExperimentsDemandDiscovery | MarketingGrowthExperimentsLearning | ExperimentsGrowthAnalyticsValidation |