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| Criterion | ![]() Growth North Star Metric | ![]() Growth Pirate Metrics AARRR | ![]() Decision Making Assumption Surfacing | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Low | High |
Timedifferent | 1-2 h | 1-2 h Setup, laufend | 45-90 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | AARRR funnel, Metric baseline, Experiment backlog | Assumption List, Critical Assumptions, Learning Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthMetricsAlignmentRetention | GrowthMetricsExperiments | AssumptionsRiskDecisionDiscovery | ExperimentsGrowthAnalyticsValidation |



