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| Criterion | ![]() UX Research Tree Testing | ![]() Product Discovery Concierge MVP | ![]() Innovation Design Sprint | ![]() 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. | 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 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 | 4-5 Tage | 20-45 min |
Participantsdifferent | Based on research question | 3-10 Kunden | 5-8 | Based on research question |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Concierge Learnings, Service Blueprint, MVP Risks | Prototype, Test Findings, Decision Rationale | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | MVPValidationServiceDiscovery | Design sprintPrototypeValidationInnovation | Information architectureNavigationStructure |



