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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Assumption Mapping |  Growth North Star Metric |  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 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 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 | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Assumption map, Test backlog, Risk ranking | North Star metric, Input metric tree, Measurement cadence | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthMetricsExperiments | AssumptionsRiskExperimentsValidation | GrowthMetricsAlignmentRetention | ExperimentsGrowthAnalyticsValidation |