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Criterion
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
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
HighLowMediumHigh
Timedifferent
1 Tag bis mehrere Wochen30–60 min45-60 min1-4 Wochen
Participantsdifferent
4-104-82-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncAsync
Outputdifferent
Problem Statement, Prototype, Test LearningsEmpathy Map, Assumptions List, Research GapsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
InnovationPrototypeResearch
SynthesisQualitativeWorkshop
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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