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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/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumHighLow
Timedifferent
1-2 Tage1-4 Wochen1-5 Tage
Participantsdifferent
Based on research question1-6Nutzertraffic
Formatsame
AsyncAsyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IAExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Information architectureNavigationFindability
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
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