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| Criterion |  Operations Causal Factor Analysis |  UX Research Surveys |  Operations 5 Whys |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 2-6 h | 3-14 Tage | 15-30 min | 1-4 h |
Participantsdifferent | 3-10 | 50+ | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Survey Results, Charts, Segment Insights | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | CausalityIncidentRoot causeTimeline | QuantitativeResearchValidation | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |