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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
Surveys method illustration showing its working structure
UX Research
Surveys
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B 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 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 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.
Complexitydifferent
MediumMediumHigh
Timedifferent
1-2 Tage3-14 Tage1-4 Wochen
Participantsdifferent
Based on research question50+1-6
Formatsame
AsyncAsyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IASurvey Results, Charts, Segment InsightsExperiment results, Decision log, Learning summary
Tagsno overlap
Information architectureNavigationFindability
QuantitativeResearchValidation
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting