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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Option Framing.
Decision Making
Option Framing
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.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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
MediumMediumHighHigh
Timedifferent
laufend45-120 min30-90 min Setup, danach laufend1-4 Wochen
Participantsdifferent
2-123-81-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsForecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationForecastingFlow
OptionsDecision framingStrategyComparison
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
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