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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
HighHighLowMedium
Timedifferent
1-4 Wochen1-4 h or multiple rounds25-40 min45-75 min
Participantsdifferent
1-64-12 Experten1-52-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryEstimate Range, Assumption Log, Expert Consensus NotesLearning Card with evidence and next actionTest Matrix, Test Plan
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
EstimationExpertsForecasting
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryOptions
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