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Criterion
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for DACI
Decision Making
DACI
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.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.
Complexitydifferent
LowHighLow
Timedifferent
30-60 min1-4 Wochen30-60 min
Participantsdifferent
1-51-62-10
Formatdifferent
Workshop + asyncAsyncWorkshop + async
Outputdifferent
Completed Experiment Canvas, Success MetricExperiment results, Decision log, Learning summaryDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
DecisionRolesGovernanceAlignment
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of Decision Rights Mapping with its method-specific working model.
Decision Making
Decision Rights Mapping
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas