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| Criterion |  Product Discovery Solution Interview |  UX Research Tree Testing |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 30-60 min je Interview | 1-2 Tage | Mehrere Wochen |
Participantsdifferent | 5-10 Interviews | Based on research question | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | ValidationInterviewsPrototype | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative |
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