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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  Domain Modeling EventStorming |
|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 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 | Medium | High | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 2-8 h |
Participantsdifferent | 1-5 | 1-6 | 5-12 |
Formatdifferent | Async | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | Domain-Driven DesignEventsDiscoveryWorkshop |
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