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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
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 a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.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
MediumLowHigh
Timedifferent
laufend60-90 min30-90 min Setup, danach laufend
Participantsdifferent
2-124-101-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesProblem Cluster, Prioritized Challenge, ExperimentForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
FacilitationDecisionProblem solvingWorkshop
ForecastingFlowDelivery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method