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| Criterion | ![]() Innovation Design Sprint | ![]() UX Research Tree Testing | ![]() Product Discovery Outcome-Driven Innovation | ![]() UX Research First-click Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 4-5 Tage | 1-2 Tage | Mehrere Wochen | 1-2 Tage |
Participantsdifferent | 5-8 | Based on research question | 2-6 researchers plus sample | 10-30 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Click Heatmap, Success Rate, Design Recommendations |
Tagsno overlap | Design sprintPrototypeValidationInnovation | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | UXNavigationFindabilityValidation |



