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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B 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
Purposedifferent
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 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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowHighLowMedium
Timedifferent
20-45 min1-4 Wochen1-5 Tage45-60 min
Participantsdifferent
Based on research question1-6Nutzertraffic2-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteAssumption map, Test backlog, Risk ranking
Tagsno overlap
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
AssumptionsRiskExperimentsValidation
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