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| Criterion | ![]() UX Research Tree Testing | ![]() Operations Root Cause Tree Analysis | ![]() UX Research Affinity Diagramming |
|---|---|---|---|
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. | 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 | Medium | Medium | Low |
Timedifferent | 1-2 Tage | 1-3 h | 45–90 min |
Participantsdifferent | Based on research question | 2-8 | 3-10 |
Formatdifferent | Async | Workshop | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Cause Tree, Evidence Notes, Countermeasures | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | Information architectureNavigationFindability | Root causeTreeIncidentQuality | SynthesisQualitativeRoot cause |
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