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| Criterion |  UX Research Tree Testing |  Product Discovery Outcome-Driven Innovation |  UX Research Empathy Mapping |  Innovation Design Thinking |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. |
Complexitydifferent | Medium | High | Low | High |
Timedifferent | 1-2 Tage | Mehrere Wochen | 30–60 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | Based on research question | 2-6 researchers plus sample | 4-8 | 4-10 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Empathy Map, Assumptions List, Research Gaps | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | SynthesisQualitativeWorkshop | InnovationPrototypeResearch |