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| Criterion |  Growth A/B Testing |  Innovation Lean Startup |  Domain Modeling EventStorming |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | Wochen bis Monate je Lernzyklus | 2-8 h | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 5-12 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | LeanStartupValidationMVP | Domain-Driven DesignEventsDiscoveryWorkshop | ValidationExperimentsDemandDiscovery |