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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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.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.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
MediumMediumLowHigh
Timedifferent
Ongoing6 Wochen Cycle + 2 Wochen Cool-Down45-120 min30-90 min Setup, danach laufend
Participantsdifferent
2-122-4 pro Pitch2-81-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Kanban board, WIP policies, Flow metricsPitches, Bet-table decisions, Hill charts, Cooldown outcomesWaste Map, Prioritized Waste, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
FlowVisual managementDelivery
PlanningDeliveryAutonomy
WasteLeanProcess improvement
ForecastingFlowDelivery
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