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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Smoke Test |  Decision Making Cynefin Workshop |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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 | Medium | Medium |
Timedifferent | 2-6 h | 1-5 Tage | 60-180 min | 1-5 Tage |
Participantsdifferent | 2-8 | Nutzertraffic | 4-20 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Interest Metrics, Conversion Signal, Learning Note | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandGrowth | ComplexitySensemakingDecision | ValidationExperimentsDemandDiscovery |