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| Criterion | ![]() Operations PDCA Cycle | ![]() Operations A3 Problem Solving | ![]() Decision Making Force Field Analysis | ![]() Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1 h bis mehrere Wochen | 45-90 min | 45-90 min | 15-30 min |
Participantsdifferent | 1-8 | 2-5 | 3-12 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | A3 Report, Action Plan, Root Cause Analysis | Force Field Map, Change Levers, Risk Notes | Root cause notes, Countermeasures |
Tagsno overlap | Continuous improvementLeanExperiments | LeanProblem solvingCoachingOperations | ChangeDecisionStrategy | Root causeIncidentLeanProblem solving |



