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| Criterion |  Operations DMAIC |  Knowledge Modeling Domain Storytelling |  Operations Root Cause Analysis |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | 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. | 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. | 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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 2-12 Wochen | 1-2 h | 1-4 h | 1-3 h |
Participantsdifferent | 3-10 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Domain Story, Glossary Notes, Process Narrative | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Continuous improvementQualityProcess improvement | KnowledgeDomain-Driven DesignProcess | Root causeProblem solvingQualityIncident | Root causeTreeIncidentQuality |