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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
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 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 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 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
MediumMediumHighLow
Timedifferent
3-14 Tage1-2 Tage1-4 Wochen1-2 Tage
Participantsdifferent
50+Based on research question1-610-30
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
Survey Results, Charts, Segment InsightsFindability Metrics, Path Analysis, Revised IAExperiment results, Decision log, Learning summaryClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
QuantitativeResearchValidation
Information architectureNavigationFindability
ExperimentsGrowthAnalyticsValidation
UXNavigationFindabilityValidation
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