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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
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowLowLow
Timedifferent
1-4 Wochen30–60 min45–90 min1-5 Tage
Participantsdifferent
1-64-83-10Nutzertraffic
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryEmpathy Map, Assumptions List, Research GapsTheme clusters, Insight statements, Opportunity areasInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
SynthesisQualitativeWorkshop
SynthesisQualitativeRoot cause
ValidationExperimentsDemandGrowth
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