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Criterion
Paper illustration of a participant using a prototype while an observer takes notes beside a highlighted usability issue.
UX Research
Usability Testing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
MediumLowMediumHigh
Timedifferent
1-2 h je Session20-45 min45-60 min1-4 Wochen
Participantsdifferent
Based on research questionBased on research question2-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Usability Issues, Severity List, RecommendationsContent groups, Label set, IA hypothesesAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationUXPrototype
Information architectureNavigationStructure
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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