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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
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.
Complexitydifferent
LowHighLow
Timedifferent
45–90 min1-4 Wochen30–60 min per interview
Participantsdifferent
3-101-61 participant per interview
Formatdifferent
WorkshopAsyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasExperiment results, Decision log, Learning summaryInterview Notes, Themes, Insight Summary
Tagsno overlap
SynthesisQualitativeRoot cause
ExperimentsGrowthAnalyticsValidation
QualitativeResearchCustomerDiscovery
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix