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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Communication Plan
Delivery
Communication Plan
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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.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.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
MediumLowMediumHigh
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down45-90 min1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-4 pro Pitch2-64-101-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesCommunication Plan, Channel Matrix, Message CadenceCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk Communication
Tags1 shared
PlanningDeliveryAutonomy
CommunicationStakeholdersDeliveryPlanning
LeanFlowWasteDelivery
ForecastingFlowDelivery
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