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| Criterion |  Knowledge Modeling IBIS |  Decision Making Decision Tree |  Domain Modeling EventStorming |  Decision Making Argument Mapping |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | 30-90 min | 2-8 h | 1-3 h |
Participantsdifferent | 2-8 | 1-6 | 5-12 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | Decision Tree, Option Map, Assumption List | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Argument Map, Evidence Gaps, Decision Rationale |
Tagsno overlap | RationaleKnowledgeDecision | DecisionTreeOptions | Domain-Driven DesignEventsDiscoveryWorkshop | SensemakingDecisionRationale |