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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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.
Complexitydifferent
HighLowLowHigh
Timedifferent
1-4 Wochen1-5 Tage20-35 min1-4 Wochen
Participantsdifferent
6-30 ExpertenNutzertraffic1-51-6
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesInterest Metrics, Conversion Signal, Learning NoteTest Card with a pre-set thresholdExperiment results, Decision log, Learning summary
Tagsno overlap
ForecastingExpertsDecisionStrategy
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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