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Criterion
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 of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Purposedifferent
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.When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream.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
MediumHighMediumLow
Timedifferent
1-3 h30-90 min Setup, danach laufendLaufend, Wochen bis Monate45-120 min
Participantsdifferent
4-101-84-102-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Current-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk CommunicationDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesWaste Map, Prioritized Waste, Improvement Backlog
Tagsno overlap
LeanFlowWasteDelivery
ForecastingFlowDelivery
AgileDiscoveryDelivery
WasteLeanProcess improvement
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