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| Criterion |  UX Research User Interviews |  Decision Making Pareto Analysis |  Operations Root Cause Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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. | 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. | 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 | Low | Low | Medium | Medium |
Timedifferent | 30–60 min per interview | 30-60 min | 1-3 h | 1-4 h |
Participantsdifferent | 1 participant per interview | 1-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Pareto Chart, Top Causes, Focus List | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PrioritizationQualityFocusRoot cause | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |