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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Surveys method illustration showing its working structure
UX Research
Surveys
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
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 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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighMediumMedium
Timedifferent
1 Tag bis mehrere Wochen1-4 Wochen3-14 Tage45-60 min
Participantsdifferent
4-101-650+2-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsExperiment results, Decision log, Learning summarySurvey Results, Charts, Segment InsightsAssumption map, Test backlog, Risk ranking
Tagsno overlap
InnovationPrototypeResearch
ExperimentsGrowthAnalyticsValidation
QuantitativeResearchValidation
AssumptionsRiskExperimentsValidation
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