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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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 Wochen1-2 h1-5 Tage1-4 Wochen
Participantsdifferent
6-30 Experten2-8Nutzertraffic1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesProduct Vision Board, Vision Statement, Assumptions and Validation QuestionsInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
ForecastingExpertsDecisionStrategy
VisionCanvasStrategyAlignment
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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