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Criterion
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
Paper illustration of a Lean Canvas with nine fields, notes, and one highlighted learning risk.
Product Strategy
Lean Canvas
Purposedifferent
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.When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
Wochen bis Monate je Lernzyklus1-3 h30-90 min Setup, danach laufend45-90 min
Participantsdifferent
2-84-101-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk CommunicationLean Canvas, Core Assumptions, Experiment Backlog
Tagsno overlap
LeanStartupValidationMVP
LeanFlowWasteDelivery
ForecastingFlowDelivery
StartupLeanAssumptionsBusiness model
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