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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Smoke Test |  Product Discovery Riskiest Assumption Test |  Growth A/B Testing |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 1-2 h Setup, laufend | 1-5 Tage | 1-2 Wochen pro Iteration | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Interest Metrics, Conversion Signal, Learning Note | Prioritized Assumption List, Test Plan, Results Report | Experiment results, Decision log, Learning summary |
Tags1 shared | GrowthMetricsExperiments | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryAssumptions | ExperimentsGrowthAnalyticsValidation |