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| Criterion |  Decision Making Pareto Analysis |  UX Research Customer Journey Mapping |  Operations Root Cause Tree Analysis |
|---|---|---|---|
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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30-60 min | 2-4 h | 1-3 h |
Participantsdifferent | 1-6 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Journey Map, Pain-point List, Opportunity Backlog | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | PrioritizationQualityFocusRoot cause | JourneyServiceService design | Root causeTreeIncidentQuality |
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