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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of an activity-role table with clear RACI assignments and one highlighted accountable role per activity.
Operations
RACI Matrix
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.With unclear responsibilities across several roles or areas, the method creates unambiguous accountability logic. It reduces friction because decision, execution, contribution, and information become separately visible.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
HighLowMediumHigh
Timedifferent
1-4 h or multiple rounds45-90 minlaufend30-90 min Setup, danach laufend
Participantsdifferent
4-12 Experten2-82-121-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesRACI Matrix, Responsibility Map, Decision NotesThroughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationExpertsForecasting
RolesResponsibilityGovernanceOperations
EstimationForecastingFlow
ForecastingFlowDelivery
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