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| Criterion |  UX Research Tree Testing |  Product Discovery Outcome-Driven Innovation |  Product Strategy Impact 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 goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 | Medium | High |
Timedifferent | 1-2 Tage | Mehrere Wochen | 45-90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | Based on research question | 2-6 researchers plus sample | 3-8 | 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 | Impact Map, Outcome Hypotheses, Delivery Options | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | OutcomesStrategyBehaviorPlanning | InnovationPrototypeResearch |