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| Criterion |  Growth A/B Testing |  Innovation Lean Startup |  Domain Modeling EventStorming |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | Wochen bis Monate je Lernzyklus | 2-8 h | 45-75 min |
Participantsdifferent | 1-6 | 2-8 | 5-12 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | LeanStartupValidationMVP | Domain-Driven DesignEventsDiscoveryWorkshop | ExperimentsValidationDiscoveryOptions |