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| Criterion |  Growth Pirate Metrics AARRR |  Growth A/B Testing |  Operations ALPEN Method |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 1-2 h Setup, laufend | 1-4 Wochen | 10-20 min daily | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 1 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary | Daily Plan, Time Estimates, Review Notes | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation | PlanningTime managementProductivityOperations | ValidationExperimentsDemandGrowth |