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Criterion
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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
HighHighMediumHigh
Timedifferent
90-180 min1-4 h or multiple roundslaufend30-90 min Setup, danach laufend
Participantsdifferent
3-84-12 Experten2-121-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
CoD Table, Prioritization SequenceEstimate Range, Assumption Log, Expert Consensus NotesThroughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
PrioritizationDeliveryEconomicsDecision
EstimationExpertsForecasting
EstimationForecastingFlow
ForecastingFlowDelivery
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