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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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 several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.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
MediumMediumMediumHigh
Timedifferent
laufend6 Wochen Cycle + 2 Wochen Cool-Down1-2 h30-90 min Setup, danach laufend
Participantsdifferent
2-122-4 pro Pitch4-121-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesPitches, Bet-table decisions, Hill charts, Cooldown outcomesAlignment Map, Open Issues, Decision QuestionsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
PlanningDeliveryAutonomy
AlignmentStakeholdersStrategyFacilitation
ForecastingFlowDelivery
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