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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Assumption Mapping |  Innovation Lean Startup |  Growth A/B Testing |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 2-6 h | 45-60 min | Wochen bis Monate je Lernzyklus | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Assumption map, Test backlog, Risk ranking | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | AssumptionsRiskExperimentsValidation | LeanStartupValidationMVP | ExperimentsGrowthAnalyticsValidation |