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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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
HighHighLowLow
Timedifferent
1-4 Wochen1-4 Wochen20-35 min30-60 min
Participantsdifferent
1-66-30 Experten1-51-5
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryExpert Forecast, Consensus Range, Assumption NotesTest Card with a pre-set thresholdCompleted Experiment Canvas, Success Metric
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
ForecastingExpertsDecisionStrategy
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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