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| Criterion |  UX Research Tree Testing |  Product Discovery Solution Interview |  Product Discovery Wizard of Oz Test |  Innovation Design Sprint |
|---|---|---|---|---|
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 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 new experience would still be too expensive to automate for real, it simulates the outcome behind the scenes. It checks user reaction and value before the technology disappears. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 1-2 Tage | 30-60 min je Interview | 2-10 Tage | 4-5 Tage |
Participantsdifferent | Based on research question | 5-10 Interviews | 5-20 Nutzer | 5-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Solution Feedback, Objection List, Validation Notes | Prototype Learnings, Manual Effort Notes, Risk List | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Information architectureNavigationFindability | ValidationInterviewsPrototype | PrototypeValidationMVP | Design sprintPrototypeValidationInnovation |