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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
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
Paper illustration for Waste Analysis.
Operations
Waste Analysis
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 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.For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.
Complexitydifferent
MediumMediumHighLow
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down1-3 h30-90 min Setup, danach laufend45-120 min
Participantsdifferent
2-4 pro Pitch4-101-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk CommunicationWaste Map, Prioritized Waste, Improvement Backlog
Tagsno overlap
PlanningDeliveryAutonomy
LeanFlowWasteDelivery
ForecastingFlowDelivery
WasteLeanProcess improvement
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