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| Criterion |  Operations DMAIC |  Decision Making Cynefin Workshop |  Decision Making Decision Tree |  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. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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. | 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 | Medium | Medium | Medium |
Timedifferent | 2-12 Wochen | 60-180 min | 30-90 min | 1-3 h |
Participantsdifferent | 3-10 | 4-20 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Decision Tree, Option Map, Assumption List | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Continuous improvementQualityProcess improvement | ComplexitySensemakingDecision | DecisionTreeOptions | Root causeTreeIncidentQuality |