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| Criterion |  Growth Funnel Analysis |  Growth Pirate Metrics AARRR |  Product Discovery Fake Door Test |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 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. | 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 | Medium | Medium | Low |
Timedifferent | 1-3 h | 1-2 h Setup, laufend | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-5 | 2-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | AARRR funnel, Metric baseline, Experiment backlog | Click Data, Interest Signal, Learning Decision | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | GrowthMetricsExperiments | ValidationExperimentsDemandDiscovery | ValidationExperimentsDemandGrowth |