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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Purposedifferent
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.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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.
Complexitydifferent
MediumHighMedium
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down30-90 min Setup, danach laufend15-45 min
Participantsdifferent
2-4 pro Pitch1-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesForecast Percentiles, Throughput Dataset, Risk CommunicationPERT Estimate, Expected Value, Risk Notes
Tagsno overlap
PlanningDeliveryAutonomy
ForecastingFlowDelivery
EstimationUncertaintyRisk
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Often compared together

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

Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Communication Plan
Delivery
Communication Plan
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation