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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 two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
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 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.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
LowHighLowMedium
Timedifferent
45–90 min1-4 Wochen30–60 min per interview1-5 Tage
Participantsdifferent
3-101-61 participant per interviewNutzertraffic
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Theme clusters, Insight statements, Opportunity areasExperiment results, Decision log, Learning summaryInterview Notes, Themes, Insight SummaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
SynthesisQualitativeRoot cause
ExperimentsGrowthAnalyticsValidation
QualitativeResearchCustomerDiscovery
ValidationExperimentsDemandDiscovery
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