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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
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
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.
Complexitydifferent
LowLowLowHigh
Timedifferent
20-45 min1 h bis mehrere Wochen1-2 Tage1-4 Wochen
Participantsdifferent
Based on research question1-810-301-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeClick Heatmap, Success Rate, Design RecommendationsExperiment results, Decision log, Learning summary
Tagsno overlap
Information architectureNavigationStructure
Continuous improvementLeanExperiments
UXNavigationFindabilityValidation
ExperimentsGrowthAnalyticsValidation
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