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| Criterion |  UX Research Tree Testing |  Product Discovery Opportunity Interview |  Product Discovery Opportunity Solution Tree |  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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | Medium | Low |
Timedifferent | 1-2 Tage | 30-60 min je Interview | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | Based on research question | 5-12 Interviews | 2-6 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Interview Notes, Opportunity Themes, Customer Quotes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Information architectureNavigationFindability | DiscoveryInterviewsOpportunityCustomer | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |