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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Product Vision Board with its method-specific working model.
Product Strategy
Product Vision Board
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 a product needs a shared direction, it connects target audience, benefit, and business picture in a clear vision. It makes the envisioned future legible for the team.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowHighLow
Timedifferent
1-4 Wochen1-2 h1-4 Wochen1-5 Tage
Participantsdifferent
6-30 Experten2-81-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesProduct Vision Board, Vision Statement, Assumptions and Validation QuestionsExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ForecastingExpertsDecisionStrategy
VisionCanvasStrategyAlignment
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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