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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
MediumHighHigh
Timedifferent
laufend30-90 min Setup, danach laufend1-4 Wochen
Participantsdifferent
2-121-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption Notes
Tags1 shared
EstimationForecastingFlow
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
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Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis