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| Criterion |  Decision Making Pareto Analysis |  UX Research User Interviews |  Operations Root Cause Analysis |  UX Research Affinity Diagramming |
|---|---|---|---|---|
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 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. | 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 30-60 min | 30–60 min per interview | 1-4 h | 45–90 min |
Participantsdifferent | 1-6 | 1 participant per interview | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Interview Notes, Themes, Insight Summary | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | PrioritizationQualityFocusRoot cause | QualitativeResearchCustomerDiscovery | Root causeProblem solvingQualityIncident | SynthesisQualitativeRoot cause |