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| Criterion |  Domain Modeling Context Map |  Decision Making Delphi Method |  Decision Making Decision Tree |  Product Strategy DIBB |
|---|---|---|---|---|
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. | 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 30-90 min | 1-2 h |
Participantsdifferent | 2-8 | 6-30 Experten | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis |