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| Criterion |  Innovation Design Thinking |  Systems Thinking Causal Loop Diagram |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | 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. | 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 | High | Medium | High | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 1-3 h | 2-6 h | 15-30 min |
Participantsdifferent | 4-10 | 2-8 | 3-10 | 2-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Causal Loop Diagram, Feedback Notes, Leverage Points | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | InnovationPrototypeResearch | FeedbackSystems thinkingCausalityDynamics | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |