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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Paper illustration for Communication Plan
Delivery
Communication Plan
Purposedifferent
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 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.Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.When many people need to be informed in parallel and messages would otherwise arrive unevenly or too late, a Communication Plan orders communication reliably. Channels, audiences, and cadences interlock so important information doesn't get lost.
Complexitydifferent
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufend1-3 h5-20 min45-90 min
Participantsdifferent
1-84-102-82-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listUnderstanding Check, Clarification Notes, Learning GapsCommunication Plan, Channel Matrix, Message Cadence
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
LearningUnderstandingCommunication
CommunicationStakeholdersDeliveryPlanning
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