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| Criterion |  UX Research Tree Testing |  UX Research Empathy Mapping |  Innovation Design Thinking |  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. | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | Low | High | Low |
Timedifferent | 1-2 Tage | 30–60 min | 1 Tag bis mehrere Wochen | 45–90 min |
Participantsdifferent | Based on research question | 4-8 | 4-10 | 3-10 |
Formatdifferent | Async | Workshop | Workshop | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Empathy Map, Assumptions List, Research Gaps | Problem Statement, Prototype, Test Learnings | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | Information architectureNavigationFindability | SynthesisQualitativeWorkshop | InnovationPrototypeResearch | SynthesisQualitativeRoot cause |