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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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
HighMediumHighHigh
Timedifferent
1-4 Wochen1-3 h45-90 min30-90 min Setup, danach laufend
Participantsdifferent
6-30 Experten4-103-101-8
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesCurrent-state map, Future-state map, Bottleneck listRanked Backlog, Cost-of-Delay AssumptionsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ForecastingExpertsDecisionStrategy
LeanFlowWasteDelivery
LeanEconomicsSequencePrioritization
ForecastingFlowDelivery
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