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| Criterion |  UX Research Tree Testing |  Operations Root Cause Analysis |  UX Research Affinity Diagramming |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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. | 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 | Medium | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 1-4 h | 45–90 min | 1-3 h |
Participantsdifferent | Based on research question | 3-8 | 3-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Theme clusters, Insight statements, Opportunity areas | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Information architectureNavigationFindability | Root causeProblem solvingQualityIncident | SynthesisQualitativeRoot cause | Root causeTreeIncidentQuality |