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| Criterion |  Decision Making Decision Tree |  Operations Gemba Walk |  Operations PDCA Cycle |  Operations A3 Problem Solving |
|---|---|---|---|---|
Purposedifferent | 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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 30-90 min | 30-120 min | 1 h bis mehrere Wochen | 45-90 min |
Participantsdifferent | 1-6 | 2-6 | 1-8 | 2-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Observation Notes, Improvement Ideas | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | DecisionTreeOptions | LeanObservationProcessOperations | Continuous improvementLeanExperiments | LeanProblem solvingCoachingOperations |