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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Purposedifferent
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.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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.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.
Complexitydifferent
LowHighMediumMedium
Timedifferent
45-120 min30-90 min Setup, danach laufend1-3 h1-3 h
Participantsdifferent
2-81-82-84-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk CommunicationContext Map, Integration Patterns, Boundary NotesCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
WasteLeanProcess improvement
ForecastingFlowDelivery
Domain-Driven DesignBoundariesStrategy
LeanFlowWasteDelivery
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