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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Time Blocking
Operations
Time Blocking
Paper illustration for ALPEN Method
Operations
ALPEN Method
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.With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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
MediumLowLowHigh
Timedifferent
laufend15-30 min Planung, laufend10-20 min daily30-90 min Setup, danach laufend
Participantsdifferent
2-12111-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesBlocked Calendar, Capacity View, Focus PlanDaily Plan, Time Estimates, Review NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
PlanningTime managementFocus
PlanningTime managementProductivityOperations
ForecastingFlowDelivery
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