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| Criterion |  Operations PDCA Cycle |  Systems Thinking Leverage Points |  Operations Causal Factor Analysis |
|---|---|---|---|
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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Low | High | High |
Timedifferent | 1 h bis mehrere Wochen | Half day | 2-6 h |
Participantsdifferent | 1-8 | 3-12 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Leverage Map, Action Strategy | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Continuous improvementLeanExperiments | Systems thinkingChangeStrategy | CausalityIncidentRoot causeTimeline |
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