View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth Pirate Metrics AARRR |  Growth A/B Testing |  Decision Making Assumption Surfacing |  Product Discovery Fake Door 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 1-4 Wochen | 45-90 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary | Assumption List, Critical Assumptions, Learning Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskDecisionDiscovery | ValidationExperimentsDemandDiscovery |