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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling IBIS |  Operations Root Cause Tree Analysis |  Operations Root Cause 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. | 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 a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1-2 h | 1-3 h | 1-3 h | 1-4 h |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Issue Map, Positions, Argument Notes | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | RationaleKnowledgeDecision | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |