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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
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.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.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 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
LowMediumHighMedium
Timedifferent
45-120 minWochen bis Monate je Lernzyklus30-90 min Setup, danach laufend1-3 h
Participantsdifferent
2-82-81-84-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogHypothesis list, MVPs, Learning reports, Pivot or persevere decisionForecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
WasteLeanProcess improvement
LeanStartupValidationMVP
ForecastingFlowDelivery
LeanFlowWasteDelivery
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