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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Fake Door Test |  Product Discovery Riskiest Assumption 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 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 pro Iteration | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Click Data, Interest Signal, Learning Decision | Prioritized Assumption List, Test Plan, Results Report | Experiment results, Decision log, Learning summary |
Tags1 shared | GrowthMetricsExperiments | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryAssumptions | ExperimentsGrowthAnalyticsValidation |