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Criterion
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Strategy Execution Loop with its method-specific working model.
Business Strategy
Strategy Execution Loop
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Purposedifferent
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.The Strategy Execution Loop helps avoid treating strategy as a one-off document. It makes visible how strategic decisions are turned into objectives, initiatives, operational work, measurement, and learning.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.
Complexitydifferent
LowHighHighMedium
Timedifferent
30-60 minInitial 3-6 h, then monthly or quarterly reviews1-4 Wochen1-2 Wochen
Participantsdifferent
1-55-121-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Completed Experiment Canvas, Success MetricExecution Loop, Review Cadence, Strategic Learning LogExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next bet
Tagsno overlap
ExperimentsValidationDiscoveryHypothesis
ExecutionCadenceLearningGovernance
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
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