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Criterion
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of a participant using a prototype while an observer takes notes beside a highlighted usability issue.
UX Research
Usability Testing
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
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 a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowMediumHighMedium
Timedifferent
30–60 min1-2 h je Session1-4 Wochen45-60 min
Participantsdifferent
4-8Based on research question1-62-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Empathy Map, Assumptions List, Research GapsUsability Issues, Severity List, RecommendationsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
SynthesisQualitativeWorkshop
ValidationUXPrototype
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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