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| Criterion |  Decision Making Decision Tree |  Decision Making Decision Matrix |  Domain Modeling EventStorming |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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 options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | 30-90 min | 45-90 min | 2-8 h | 30-90 min |
Participantsdifferent | 1-6 | 2-8 | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Decision Matrix, Scoring Rationale, Selected Option | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | DecisionCriteriaScoringTradeoffs | Domain-Driven DesignEventsDiscoveryWorkshop | ConstraintsDecisionPlanningOptions |