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| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Facilitation Power Interest Grid |
|---|---|---|---|
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. | 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 many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Power Interest Grid, Strategy per Stakeholder |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | StakeholdersFacilitationAlignmentPlanning |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
