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| Criterion |  Growth A/B Testing |  Decision Making Argument Mapping |  Domain Modeling EventStorming |
|---|---|---|---|
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. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-3 h | 2-8 h |
Participantsdifferent | 1-6 | 1-8 | 5-12 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Argument Map, Evidence Gaps, Decision Rationale | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | SensemakingDecisionRationale | Domain-Driven DesignEventsDiscoveryWorkshop |
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