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Criterion
Empathy Mapping
UX Research
Empathy Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
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 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.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowHighHighMedium
Timedifferent
30–60 min1-4 Wochen1 Tag bis mehrere Wochen45-60 min
Participantsdifferent
4-81-64-102-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Empathy Map, Assumptions List, Research GapsExperiment results, Decision log, Learning summaryProblem Statement, Prototype, Test LearningsAssumption map, Test backlog, Risk ranking
Tagsno overlap
SynthesisQualitativeWorkshop
ExperimentsGrowthAnalyticsValidation
InnovationPrototypeResearch
AssumptionsRiskExperimentsValidation
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