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| Criterion |  Domain Modeling EventStorming |  Operations PDCA Cycle |  Knowledge Modeling Event Modeling |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 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 | 2-8 h | 1 h bis mehrere Wochen | 2-6 h | 1-5 Tage |
Participantsdifferent | 5-12 | 1-8 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Event Model, UI Flow, Commands, Read Models | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | Continuous improvementLeanExperiments | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandDiscovery |