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| Criterion |  Domain Modeling Bounded Context Canvas |  Knowledge Modeling Teach-back |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | When a business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold. | Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations. | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 h | 5-20 min | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 3-8 | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Context Canvas, Glossary, Integration Notes | Understanding Check, Clarification Notes, Learning Gaps | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | Domain-Driven DesignBoundariesModeling | LearningUnderstandingCommunication | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |