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Criterion
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
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
Purposedifferent
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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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.
Complexitydifferent
LowLowLowHigh
Timedifferent
1-5 Tage1-2 Tage20-45 min1-4 Wochen
Participantsdifferent
Nutzertraffic10-30Based on research question1-6
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Interest Metrics, Conversion Signal, Learning NoteClick Heatmap, Success Rate, Design RecommendationsContent groups, Label set, IA hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationExperimentsDemandGrowth
UXNavigationFindabilityValidation
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
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