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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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
HighLowLow
Timedifferent
1-4 Wochen20-45 min1-5 Tage
Participantsdifferent
1-6Based on research questionNutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryContent groups, Label set, IA hypothesesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Information architectureNavigationStructure
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
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 of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
First-click Testing method illustration showing its working structure
UX Research
First-click Testing