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| Criterion |  Product Discovery Problem Interview |  UX Research Tree Testing |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-60 min je Interview | 1-2 Tage | 60-90 min |
Participantsdifferent | 5-12 Interviews | Based on research question | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Findability Metrics, Path Analysis, Revised IA | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | DiscoveryInterviewsValidation | Information architectureNavigationFindability | ExperimentsPrioritizationDiscoveryHypothesis |
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