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| Criterion |  Knowledge Modeling PARA Method |  Knowledge Modeling Event Modeling |  Product Discovery Smoke Test |  Product Discovery Fake Door 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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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 | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 2-6 h | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1 | 2-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Event Model, UI Flow, Commands, Read Models | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |