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| Criterion | ![]() Growth Pirate Metrics AARRR | ![]() Growth Hooked Model | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-2 h Setup, laufend | Multiple workshops over several weeks | 1-4 Wochen | 45-60 min |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | GrowthMetricsExperiments | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |



