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| Criterion |  Domain Modeling EventStorming |  Decision Making Decision Tree |  Knowledge Modeling Event Modeling |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 2-8 h | 30-90 min | 2-6 h | 30-90 min |
Participantsdifferent | 5-12 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Decision Tree, Option Map, Assumption List | Event Model, UI Flow, Commands, Read Models | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | DecisionTreeOptions | EventsBlueprintDomain-Driven DesignBehavior | ConstraintsDecisionPlanningOptions |