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| Criterion |  Growth A/B Testing |  Systems Thinking Leverage Points |  Growth Pirate Metrics AARRR |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | Half day | 1-2 h Setup, laufend | 45-60 min |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Leverage Map, Action Strategy | AARRR funnel, Metric baseline, Experiment backlog | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Systems thinkingChangeStrategy | GrowthMetricsExperiments | AssumptionsRiskExperimentsValidation |