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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
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.For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.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.
Complexitydifferent
MediumLowHighHigh
Timedifferent
laufend45-120 min1-4 h or multiple rounds30-90 min Setup, danach laufend
Participantsdifferent
2-122-84-12 Experten1-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesWaste Map, Prioritized Waste, Improvement BacklogEstimate Range, Assumption Log, Expert Consensus NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
WasteLeanProcess improvement
EstimationExpertsForecasting
ForecastingFlowDelivery
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