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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
A paper-based illustration representing Context Canvas with its core stages and visible working result.
Product Discovery
Context Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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
MediumLowHighLow
Timedifferent
1-2 Tage45-90 min1-4 Wochen1-2 Tage
Participantsdifferent
Based on research question3-101-610-30
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IAContext canvas, Open questions, Shared context notesExperiment results, Decision log, Learning summaryClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
Information architectureNavigationFindability
ContextFramingRequirementsCanvas
ExperimentsGrowthAnalyticsValidation
UXNavigationFindabilityValidation
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