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| Criterion |  Growth Funnel Analysis |  Delivery RAID Log |  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 scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 | Low | Medium | Low |
Timedifferent | 1-3 h | 30 min Setup, dann laufend | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-5 | 1-3 maintaining, briefing for everyone | Nutzertraffic | Nutzertraffic |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | RAID Log, Status Report Source | Click Data, Interest Signal, Learning Decision | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | RiskTrackingStakeholdersGovernance | ValidationExperimentsDemandDiscovery | ValidationExperimentsDemandGrowth |