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Criterion
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration for Bucket System.
Agile
Bucket System
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Purposedifferent
The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.
Complexitydifferent
LowMediumHighMedium
Timedifferent
20-35 min30-90 min1-4 Wochen60-90 min
Participantsdifferent
1-53-121-63-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Test Card with a pre-set thresholdBucketed Backlog, Relative Estimates, Split CandidatesExperiment results, Decision log, Learning summaryPrioritization Canvas, Hypothesis Backlog
Tagsno overlap
ExperimentsValidationDiscoveryHypothesis
EstimationBacklogRelative sizing
ExperimentsGrowthAnalyticsValidation
ExperimentsPrioritizationDiscoveryHypothesis
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