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| Criterion | ![]() UX Research Tree Testing | ![]() Product Discovery Concierge MVP | ![]() Innovation Design Thinking | ![]() UX Research Card Sorting |
|---|---|---|---|---|
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 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. | 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 | 1-2 Tage | 1-4 Wochen | 1 Tag bis mehrere Wochen | 20-45 min |
Participantsdifferent | Based on research question | 3-10 Kunden | 4-10 | Based on research question |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Concierge Learnings, Service Blueprint, MVP Risks | Problem Statement, Prototype, Test Learnings | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | MVPValidationServiceDiscovery | InnovationPrototypeResearch | Information architectureNavigationStructure |



