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| Criterion |  Decision Making Argument Mapping |  Decision Making Decision Tree |  Domain Modeling EventStorming |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | 1-3 h | 30-90 min | 2-8 h | 30-90 min |
Participantsdifferent | 1-8 | 1-6 | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Argument Map, Evidence Gaps, Decision Rationale | 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 | SensemakingDecisionRationale | DecisionTreeOptions | Domain-Driven DesignEventsDiscoveryWorkshop | ConstraintsDecisionPlanningOptions |