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| Criterion |  Decision Making Pareto Analysis |  UX Research Customer Journey Mapping |  Operations Root Cause Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | When a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | 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 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 | Low | Medium | Medium | Low |
Timedifferent | 30-60 min | 2-4 h | 1-4 h | 15-30 min |
Participantsdifferent | 1-6 | 4-10 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Journey Map, Pain-point List, Opportunity Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Root cause notes, Countermeasures |
Tagsno overlap | PrioritizationQualityFocusRoot cause | JourneyServiceService design | Root causeProblem solvingQualityIncident | Root causeIncidentLeanProblem solving |