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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Surveys method illustration showing its working structure
UX Research
Surveys
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
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.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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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
MediumHighMediumLow
Timedifferent
1-2 Tage1 Tag bis mehrere Wochen3-14 Tage1-2 Tage
Participantsdifferent
Based on research question4-1050+10-30
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IAProblem Statement, Prototype, Test LearningsSurvey Results, Charts, Segment InsightsClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
Information architectureNavigationFindability
InnovationPrototypeResearch
QuantitativeResearchValidation
UXNavigationFindabilityValidation
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