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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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.Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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 min6 Wochen Cycle + 2 Wochen Cool-DownOngoing30-90 min Setup, danach laufend
Participantsdifferent
2-82-4 pro Pitch2-121-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogPitches, Bet-table decisions, Hill charts, Cooldown outcomesKanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
WasteLeanProcess improvement
PlanningDeliveryAutonomy
FlowVisual managementDelivery
ForecastingFlowDelivery
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