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| Criterion |  UX Research Affinity Diagramming |  Operations Root Cause Analysis |  UX Research User Interviews |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 45–90 min | 1-4 h | 30–60 min per interview | 1-3 h |
Participantsdifferent | 3-10 | 3-8 | 1 participant per interview | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Interview Notes, Themes, Insight Summary | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | SynthesisQualitativeRoot cause | Root causeProblem solvingQualityIncident | QualitativeResearchCustomerDiscovery | Root causeTreeIncidentQuality |