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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
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.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.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.
Complexitydifferent
HighHighMedium
Timedifferent
1-4 h or multiple rounds30-90 min Setup, danach laufend30-90 min
Participantsdifferent
4-12 Experten1-83-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesForecast Percentiles, Throughput Dataset, Risk CommunicationAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationExpertsForecasting
ForecastingFlowDelivery
EstimationBacklogRelative sizing
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