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| Criterion |  UX Research Tree Testing |  Innovation Design Sprint |  Product Discovery Problem Interview |  Product Discovery Concierge MVP |
|---|---|---|---|---|
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 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. | 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-2 Tage | 4-5 Tage | 30-60 min je Interview | 1-4 Wochen |
Participantsdifferent | Based on research question | 5-8 | 5-12 Interviews | 3-10 Kunden |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Prototype, Test Findings, Decision Rationale | Problem Evidence, Risk Notes, Customer Segments | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | Information architectureNavigationFindability | Design sprintPrototypeValidationInnovation | DiscoveryInterviewsValidation | MVPValidationServiceDiscovery |