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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.
Complexitydifferent
MediumHighHigh
Timedifferent
15-45 min1-4 Wochen30-90 min Setup, danach laufend
Participantsdifferent
1-86-30 Experten1-8
Formatdifferent
Workshop + asyncAsyncWorkshop + async
Outputdifferent
PERT Estimate, Expected Value, Risk NotesExpert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationUncertaintyRisk
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
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Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing