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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
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
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Purposedifferent
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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 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
LowMediumHighLow
Timedifferent
45–90 min1-2 Tage1 Tag bis mehrere Wochen1-2 Tage
Participantsdifferent
3-10Based on research question4-1010-30
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Theme clusters, Insight statements, Opportunity areasFindability Metrics, Path Analysis, Revised IAProblem Statement, Prototype, Test LearningsClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
SynthesisQualitativeRoot cause
Information architectureNavigationFindability
InnovationPrototypeResearch
UXNavigationFindabilityValidation
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