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| Criterion |  UX Research HEART Framework |  Growth Funnel Analysis |  Product Discovery Fake Door Test |  Product Strategy Counter Metrics |
|---|---|---|---|---|
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 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. | 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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 120 min initial, dann laufend | 1-3 h | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-6 | 1-5 | Nutzertraffic | 2-6 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Funnel report, Drop-off analysis, Optimization hypotheses | Click Data, Interest Signal, Learning Decision | Counter Metric List, Guardrail Definitions |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | AnalyticsConversionGrowth | ValidationExperimentsDemandDiscovery | MetricsMeasurementStrategyExperiments |