methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

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 of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
LowHighMediumLow
Timedifferent
20-45 min1-4 Wochen45-60 min1-5 Tage
Participantsdifferent
Based on research question1-62-8Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk rankingInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
ValidationExperimentsDemandGrowth
Add more methods