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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Empathy Mapping
UX Research
Empathy Mapping
Purposedifferent
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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.
Complexitydifferent
LowHighMediumLow
Timedifferent
45–90 min1-4 Wochen45-60 min30–60 min
Participantsdifferent
3-101-62-84-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Theme clusters, Insight statements, Opportunity areasExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk rankingEmpathy Map, Assumptions List, Research Gaps
Tagsno overlap
SynthesisQualitativeRoot cause
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
SynthesisQualitativeWorkshop
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