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| Criterion | ![]() UX Research Affinity Diagramming | ![]() UX Research Empathy Mapping | ![]() UX Research Card Sorting | ![]() UX Research Tree Testing |
|---|---|---|---|---|
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 lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 45–90 min | 30–60 min | 20-45 min | 1-2 Tage |
Participantsdifferent | 3-10 | 4-8 | Based on research question | Based on research question |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Empathy Map, Assumptions List, Research Gaps | Content groups, Label set, IA hypotheses | Findability Metrics, Path Analysis, Revised IA |
Tagsno overlap | SynthesisQualitativeRoot cause | SynthesisQualitativeWorkshop | Information architectureNavigationStructure | Information architectureNavigationFindability |



