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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling Knowledge 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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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 | 1-3 h | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 3-12 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | KnowledgeMappingRisk | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |