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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 Wochen60-120 min1-5 Tage1-2 h
Participantsdifferent
6-30 Experten2-8Nutzertraffic2-8
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsInterest Metrics, Conversion Signal, Learning NoteDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
Theory of ConstraintsAssumptionsSystems thinking
ValidationExperimentsDemandGrowth
StrategyDecisionAssumptionsHypothesis
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