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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
HighLowHighMedium
Timedifferent
1 Tag bis mehrere Wochen1-5 Tage1-4 Wochen45-60 min
Participantsdifferent
4-10Nutzertraffic1-62-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
InnovationPrototypeResearch
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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