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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
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.When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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
1-4 h or multiple rounds45-90 minlaufend30-90 min Setup, danach laufend
Participantsdifferent
4-12 Experten3-102-121-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesRanked Backlog, Cost-of-Delay AssumptionsThroughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationExpertsForecasting
LeanEconomicsSequencePrioritization
EstimationForecastingFlow
ForecastingFlowDelivery
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