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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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.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 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.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighHighMediumMedium
Timedifferent
1-4 h or multiple rounds1-4 Wochen45-75 min1-5 Tage
Participantsdifferent
4-12 Experten1-62-8Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesExperiment results, Decision log, Learning summaryTest Matrix, Test PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
EstimationExpertsForecasting
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
ValidationExperimentsDemandDiscovery
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