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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Smoke Test |  Decision Making Assumption Surfacing |  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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Low | Low | High |
Timedifferent | 2-6 h | 1-5 Tage | 45-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Interest Metrics, Conversion Signal, Learning Note | Assumption List, Critical Assumptions, Learning Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandGrowth | AssumptionsRiskDecisionDiscovery | ExperimentsGrowthAnalyticsValidation |