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| Criterion |  Operations Root Cause Tree Analysis |  Operations Fishbone Diagram |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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 | Medium | Low | Low | Medium |
Timedifferent | 1-3 h | 30-60 min | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Fishbone Diagram, Cause Categories, Investigation Backlog | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Root causeTreeIncidentQuality | Root causeQualityOperations | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |