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| Criterion |  Growth Growth Experiment |  Growth North Star Metric |  Growth Pirate Metrics AARRR |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 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 Wochen | 1-2 h | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment card, Result summary, Next bet | North Star metric, Input metric tree, Measurement cadence | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tags1 shared | MarketingGrowthExperimentsLearning | GrowthMetricsAlignmentRetention | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |