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| Criterion |  Domain Modeling EventStorming |  Product Strategy DIBB |  Decision Making Decision Tree |  Domain Modeling Context Map |
|---|---|---|---|---|
Purposedifferent | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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. | 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. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 2-8 h | 1-2 h | 30-90 min | 1-3 h |
Participantsdifferent | 5-12 | 2-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions | Domain-Driven DesignBoundariesStrategy |