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| Criterion |  Knowledge Modeling Domain Storytelling |  Decision Making Decision Tree |  Product Strategy DIBB |  Domain Modeling Context Map |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 1-2 h | 30-90 min | 1-2 h | 1-3 h |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignBoundariesStrategy |