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| Criterion | ![]() UX Research Tree Testing | ![]() Product Discovery Problem Interview | ![]() UX Research Card Sorting | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-2 Tage | 30-60 min je Interview | 20-45 min | 30-60 min |
Participantsdifferent | Based on research question | 5-12 Interviews | Based on research question | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Problem Evidence, Risk Notes, Customer Segments | Content groups, Label set, IA hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Information architectureNavigationFindability | DiscoveryInterviewsValidation | Information architectureNavigationStructure | ExperimentsValidationDiscoveryHypothesis |



