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| Criterion |  Product Discovery Opportunity Interview |  UX Research Tree Testing |  Product Discovery Opportunity Solution Tree |  UX Research Card Sorting |
|---|---|---|---|---|
Purposedifferent | 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 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 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 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-60 min je Interview | 1-2 Tage | 1-2 h Setup, laufend | 20-45 min |
Participantsdifferent | 5-12 Interviews | Based on research question | 2-6 | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Findability Metrics, Path Analysis, Revised IA | Opportunity Solution Tree, Experiment Backlog, Learning Log | Content groups, Label set, IA hypotheses |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | Information architectureNavigationFindability | DiscoveryOutcomesExperimentsOpportunity | Information architectureNavigationStructure |