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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Purposedifferent
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.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.
Complexitydifferent
HighMediumLow
Timedifferent
30-90 min Setup, danach laufend6 Wochen Cycle + 2 Wochen Cool-Down45-120 min
Participantsdifferent
1-82-4 pro Pitch2-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationPitches, Bet-table decisions, Hill charts, Cooldown outcomesWaste Map, Prioritized Waste, Improvement Backlog
Tagsno overlap
ForecastingFlowDelivery
PlanningDeliveryAutonomy
WasteLeanProcess improvement
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Often compared together

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

Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Communication Plan
Delivery
Communication Plan