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| Criterion |  Growth Pirate Metrics AARRR |  UX Research HEART Framework |  Product Discovery Smoke Test |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 120 min initial, dann laufend | 1-5 Tage | 45-60 min |
Participantsdifferent | 2-8 | 3-6 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | HEART-GSM Table, Dashboard | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | GrowthMetricsExperiments | MetricsUX researchMeasurementSatisfaction | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation |