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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Purposedifferent
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 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 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
HighLowLow
Timedifferent
1-4 Wochen30–60 min30–60 min per interview
Participantsdifferent
1-64-81 participant per interview
Formatdifferent
AsyncWorkshopWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryEmpathy Map, Assumptions List, Research GapsInterview Notes, Themes, Insight Summary
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
SynthesisQualitativeWorkshop
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