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| Criterion |  Systems Thinking Causal Loop Diagram |  Innovation Design Thinking |  Operations MORT Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 | Medium | High | High | High |
Timedifferent | 1-3 h | 1 Tag bis mehrere Wochen | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 2-8 | 4-10 | 2-6 | 3-10 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Causal Loop Diagram, Feedback Notes, Leverage Points | Problem Statement, Prototype, Test Learnings | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | FeedbackSystems thinkingCausalityDynamics | InnovationPrototypeResearch | Root causeSafetySystemicIncident | CausalityIncidentRoot causeTimeline |