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| Criterion |  Operations Scatter Diagram |  Operations Root Cause Tree Analysis |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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 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 | Low | Medium |
Timedifferent | 30-90 min | 1-3 h | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-4 | 2-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Cause Tree, Evidence Notes, Countermeasures | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Root causeQualityVisualization | Root causeTreeIncidentQuality | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |