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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
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 for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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.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
MediumHighMediumHigh
Timedifferent
laufend1-4 Wochen10-30 min je Item30-90 min Setup, danach laufend
Participantsdifferent
2-126-30 Experten1-81-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesExpert Forecast, Consensus Range, Assumption NotesThree-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tags1 shared
EstimationForecastingFlow
ForecastingExpertsDecisionStrategy
EstimationUncertaintyForecasting
ForecastingFlowDelivery
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