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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Empathy Mapping
UX Research
Empathy Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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 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.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowLowHighMedium
Timedifferent
45–90 min30–60 min1-4 Wochen1-5 Tage
Participantsdifferent
3-104-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Theme clusters, Insight statements, Opportunity areasEmpathy Map, Assumptions List, Research GapsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
SynthesisQualitativeRoot cause
SynthesisQualitativeWorkshop
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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