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| Criterion |  Product Discovery Pretotyping |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |  Innovation Lean Startup |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | Stunden bis wenige Tage | 2-8 h | 2-6 h | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-4 | 5-12 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | ValidationDemandMVP | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior | LeanStartupValidationMVP |