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| Criterion |  Knowledge Modeling Teach-back |  Domain Modeling Context Map |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | 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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | 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 | Low | Medium | High | Medium |
Timedifferent | 5-20 min | 1-3 h | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Understanding Check, Clarification Notes, Learning Gaps | Context Map, Integration Patterns, Boundary Notes | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | LearningUnderstandingCommunication | Domain-Driven DesignBoundariesStrategy | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |