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Criterion
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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 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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
HighHighLowLow
Timedifferent
2-6 h1-4 Wochen30-60 min25-40 min
Participantsdifferent
3-101-61-51-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Event Timeline, Causal Factor Chart, Cause List, Corrective ActionsExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success MetricLearning Card with evidence and next action
Tagsno overlap
CausalityIncidentRoot causeTimeline
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryLearning
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