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| Criterion |  Growth Funnel Analysis |  UX Research HEART Framework |  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. | 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 | 1-3 h | 120 min initial, dann laufend | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-5 | 3-6 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | HEART-GSM Table, Dashboard | Click Data, Interest Signal, Learning Decision | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | MetricsUX researchMeasurementSatisfaction | ValidationExperimentsDemandDiscovery | ValidationExperimentsDemandGrowth |