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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-2 h je Session1-4 Wochen45–90 min45-60 min
Participantsdifferent
Based on research question1-63-102-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Usability Issues, Severity List, RecommendationsExperiment results, Decision log, Learning summaryTheme clusters, Insight statements, Opportunity areasAssumption map, Test backlog, Risk ranking
Tagsno overlap
ValidationUXPrototype
ExperimentsGrowthAnalyticsValidation
SynthesisQualitativeRoot cause
AssumptionsRiskExperimentsValidation
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