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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling Concept Mapping |  Decision Making Decision Tree |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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 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 | Low | Medium | Medium | Low |
Timedifferent | 1-2 h | 1-2 h | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 1-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Concept Map, Relationship Labels, Knowledge Gaps | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | KnowledgeConceptsMappingSensemaking | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |