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