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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 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 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowLowHighLow
Timedifferent
20-45 min1-2 Tage1-4 Wochen30-60 min
Participantsdifferent
Based on research question10-301-61-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesClick Heatmap, Success Rate, Design RecommendationsExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
Information architectureNavigationStructure
UXNavigationFindabilityValidation
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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