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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Concierge MVP |  UX Research Affinity Diagramming |  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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | 2-6 h | 1-4 Wochen | 45–90 min | 1-5 Tage |
Participantsdifferent | 2-8 | 3-10 Kunden | 3-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Concierge Learnings, Service Blueprint, MVP Risks | Theme clusters, Insight statements, Opportunity areas | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | MVPValidationServiceDiscovery | SynthesisQualitativeRoot cause | ValidationExperimentsDemandDiscovery |