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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  UX Research Tree Testing |
|---|---|---|---|
Purposedifferent | 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. | 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 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 | High | High | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 1-2 Tage |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | Based on research question |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Findability Metrics, Path Analysis, Revised IA |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | Information architectureNavigationFindability |
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