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| Criterion |  Growth A/B Testing |  Growth North Star Metric |  Growth Hooked Model |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-2 h | Multiple workshops over several weeks | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | North Star metric, Input metric tree, Measurement cadence | Hooked loop, Trigger map, Reward design, Ethics check | AARRR funnel, Metric baseline, Experiment backlog |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthMetricsAlignmentRetention | GrowthBehaviorRetention | GrowthMetricsExperiments |