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| Criterion |  Growth Pirate Metrics AARRR |  UX Research HEART Framework |  Product Discovery Fake Door Test |  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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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 | 1-2 h Setup, laufend | 120 min initial, dann laufend | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 2-8 | 3-6 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | HEART-GSM Table, Dashboard | Click Data, Interest Signal, Learning Decision | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthMetricsExperiments | MetricsUX researchMeasurementSatisfaction | ValidationExperimentsDemandDiscovery | ValidationExperimentsDemandGrowth |