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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
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
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.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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
LowMediumMediumHigh
Timedifferent
45-120 minWochen bis Monate je Lernzyklus1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-82-84-101-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogHypothesis list, MVPs, Learning reports, Pivot or persevere decisionCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
WasteLeanProcess improvement
LeanStartupValidationMVP
LeanFlowWasteDelivery
ForecastingFlowDelivery
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