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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1-4 Wochen10-30 min je Item1-2 Wochen pro Iteration45-90 min
Participantsdifferent
6-30 Experten1-82-62-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesThree-Point Estimate, Risk Range, Assumption NotesPrioritized Assumption List, Test Plan, Results ReportAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
ForecastingExpertsDecisionStrategy
EstimationUncertaintyForecasting
ExperimentsValidationDiscoveryAssumptions
AssumptionsRiskDecisionDiscovery
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