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Criterion
Paper illustration of Scrum with its method-specific working model.
Agile
Scrum
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
When a team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries.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
MediumHighMedium
Timedifferent
1-4 Wochen je Sprint, laufend30-90 min Setup, danach laufend1-3 h
Participantsdifferent
3-10 (Scrum Team)1-84-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Product Backlog, Sprint Backlog, Increment, Sprint GoalForecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
AgileIterationCadence
ForecastingFlowDelivery
LeanFlowWasteDelivery
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Story Splitting method illustration showing its working structure
Agile
Story Splitting