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| Criterion |  Domain Modeling Context Map |  Knowledge Modeling Teach-back |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 1-3 h | 5-20 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Understanding Check, Clarification Notes, Learning Gaps | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | LearningUnderstandingCommunication | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |