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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Empathy Mapping
UX Research
Empathy Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Affinity Diagramming
UX Research
Affinity Diagramming
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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 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 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.
Complexitydifferent
MediumLowHighLow
Timedifferent
45-60 min30–60 min1-4 Wochen45–90 min
Participantsdifferent
2-84-81-63-10
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Assumption map, Test backlog, Risk rankingEmpathy Map, Assumptions List, Research GapsExperiment results, Decision log, Learning summaryTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
AssumptionsRiskExperimentsValidation
SynthesisQualitativeWorkshop
ExperimentsGrowthAnalyticsValidation
SynthesisQualitativeRoot cause
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