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| Criterion |  Product Discovery Solution Interview |  UX Research Tree Testing |  Innovation Design Thinking |  UX Research Card Sorting |
|---|---|---|---|---|
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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | High | Low |
Timedifferent | 30-60 min je Interview | 1-2 Tage | 1 Tag bis mehrere Wochen | 20-45 min |
Participantsdifferent | 5-10 Interviews | Based on research question | 4-10 | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings | Content groups, Label set, IA hypotheses |
Tagsno overlap | ValidationInterviewsPrototype | Information architectureNavigationFindability | InnovationPrototypeResearch | Information architectureNavigationStructure |