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| Criterion |  Innovation Design Thinking |  Systems Thinking Causal Loop Diagram |  Operations Root Cause Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 | High | Medium | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-3 h | 1-4 h | 2-6 h |
Participantsdifferent | 4-10 | 2-8 | 3-8 | 3-10 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Causal Loop Diagram, Feedback Notes, Leverage Points | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | InnovationPrototypeResearch | FeedbackSystems thinkingCausalityDynamics | Root causeProblem solvingQualityIncident | CausalityIncidentRoot causeTimeline |