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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
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.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
LowLowMediumHigh
Timedifferent
20-45 min1-2 Tage1-2 Tage1-4 Wochen
Participantsdifferent
Based on research question10-30Based on research question1-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesClick Heatmap, Success Rate, Design RecommendationsFindability Metrics, Path Analysis, Revised IAExperiment results, Decision log, Learning summary
Tagsno overlap
Information architectureNavigationStructure
UXNavigationFindabilityValidation
Information architectureNavigationFindability
ExperimentsGrowthAnalyticsValidation
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