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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling Knowledge Mapping |  Decision Making Eisenhower Matrix |  Decision Making Pareto 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 1-3 h | 15-30 min | 30-60 min |
Participantsdifferent | 2-8 | 3-12 | 1-6 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Eisenhower Matrix, Action List, Delegation Notes | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | KnowledgeMappingRisk | PrioritizationFocusTasks | PrioritizationQualityFocusRoot cause |