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| Criterion |  Knowledge Modeling PARA Method |  Growth Funnel Analysis |  Product Discovery Fake Door Test |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | 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 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 | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 1-3 h | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1 | 1-5 | Nutzertraffic | Nutzertraffic |
Formatsame | Async | Async | Async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Funnel report, Drop-off analysis, Optimization hypotheses | Click Data, Interest Signal, Learning Decision | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | KnowledgeProductivityOrganization | AnalyticsConversionGrowth | ValidationExperimentsDemandDiscovery | ValidationExperimentsDemandGrowth |