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| Criterion |  Product Discovery Smoke Test |  Operations Change Analysis |  Growth Funnel Analysis |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1-5 Tage | 45-120 min | 1-3 h | 1-5 Tage |
Participantsdifferent | Nutzertraffic | 2-6 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Funnel report, Drop-off analysis, Optimization hypotheses | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationExperimentsDemandGrowth | ChangeRoot causeTroubleshootingComparison | AnalyticsConversionGrowth | ValidationExperimentsDemandDiscovery |