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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 Fake Door Test
Product Discovery
Fake Door 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 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
HighLowLowMedium
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 areasClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
SynthesisQualitativeWorkshop
SynthesisQualitativeRoot cause
ValidationExperimentsDemandDiscovery
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