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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Pretotyping |  Innovation Lean Startup |  Domain Modeling EventStorming |
|---|---|---|---|---|
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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 2-6 h | Stunden bis wenige Tage | Wochen bis Monate je Lernzyklus | 2-8 h |
Participantsdifferent | 2-8 | 1-4 | 2-8 | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ValidationDemandMVP | LeanStartupValidationMVP | Domain-Driven DesignEventsDiscoveryWorkshop |