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| Criterion |  Growth Pirate Metrics AARRR |  Growth North Star Metric |  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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | 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 | 1-2 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | North Star metric, Input metric tree, Measurement cadence | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthMetricsExperiments | GrowthMetricsAlignmentRetention | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |