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| Criterion |  Decision Making Pareto Analysis |  UX Research User Interviews |  Operations Root Cause Tree 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. | 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 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 | 1-3 h | 45–90 min |
Participantsdifferent | 1-6 | 1 participant per interview | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Interview Notes, Themes, Insight Summary | Cause Tree, Evidence Notes, Countermeasures | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | PrioritizationQualityFocusRoot cause | QualitativeResearchCustomerDiscovery | Root causeTreeIncidentQuality | SynthesisQualitativeRoot cause |