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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a yellow story card, blue rule cards, green example cards and a red question card on a light workspace.
Agile
Example Mapping
Paper illustration of Specification by Example with a method-specific labelled workspace.
Agile
Specification by Example
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.When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound.When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests.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
HighLowMediumLow
Timedifferent
1-4 Wochen30-60 min60-90 min pro Feature30-60 min
Participantsdifferent
1-63-73-61-5
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryExample Map, Acceptance Criteria, Open QuestionsExample Table, Acceptance TestsCompleted Experiment Canvas, Success Metric
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Behavior-Driven DevelopmentRequirementsExamplesRefinement
AgileRequirementsExamplesBehavior-Driven Development
ExperimentsValidationDiscoveryHypothesis
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