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Criterion
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 Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighHighLowLow
Timedifferent
1-4 Wochen1 Tag bis mehrere Wochen20-35 min30-60 min
Participantsdifferent
1-64-101-51-5
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryProblem Statement, Prototype, Test LearningsTest Card with a pre-set thresholdCompleted Experiment Canvas, Success Metric
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
InnovationPrototypeResearch
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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