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| Criterion |  Knowledge Modeling Event Modeling |  Decision Making Decision Tree |  Domain Modeling EventStorming |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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 | 2-6 h | 30-90 min | 2-8 h | 30-90 min |
Participantsdifferent | 2-8 | 1-6 | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Decision Tree, Option Map, Assumption List | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | DecisionTreeOptions | Domain-Driven DesignEventsDiscoveryWorkshop | ConstraintsDecisionPlanningOptions |