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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Domain Context Map
Domain Modeling
Domain Context Map
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.When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.When a domain model and its associated contexts need to be thought through together, it creates a shared overview. It connects the business view and organizational boundary into a readable whole.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
MediumLowMediumHigh
Timedifferent
laufend15-60 min1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-122-93-101-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesIdeal Day Estimates, Assumption Notes, Capacity CaveatsDomain Context Map, Boundary Notes, Ownership MapForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
EstimationEffortAgile
Domain-Driven DesignContextBoundaries
ForecastingFlowDelivery
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