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Criterion
Paper illustration of Scrum with its method-specific working model.
Agile
Scrum
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When a team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries.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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.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
MediumHighMediumLow
Timedifferent
1-4 Wochen je Sprint, laufend1-4 Wochen45-75 min30-60 min
Participantsdifferent
3-10 (Scrum Team)1-62-81-5
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Product Backlog, Sprint Backlog, Increment, Sprint GoalExperiment results, Decision log, Learning summaryTest Matrix, Test PlanCompleted Experiment Canvas, Success Metric
Tagsno overlap
AgileIterationCadence
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryHypothesis
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