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| Criterion |  Growth A/B Testing |  Growth Hooked Model |  Domain Modeling EventStorming |  Product Discovery Learning Card |
|---|---|---|---|---|
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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | Multiple workshops over several weeks | 2-8 h | 25-40 min |
Participantsdifferent | 1-6 | 2-8 | 5-12 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Hooked loop, Trigger map, Reward design, Ethics check | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Learning Card with evidence and next action |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | GrowthBehaviorRetention | Domain-Driven DesignEventsDiscoveryWorkshop | ExperimentsValidationDiscoveryLearning |