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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Time Blocking
Operations
Time Blocking
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for ALPEN Method
Operations
ALPEN Method
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.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.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 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.
Complexitydifferent
HighLowMediumLow
Timedifferent
30-90 min Setup, danach laufend15-30 min Planung, laufendlaufend10-20 min daily
Participantsdifferent
1-812-121
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationBlocked Calendar, Capacity View, Focus PlanThroughput Data, Flow Forecast, Slicing RulesDaily Plan, Time Estimates, Review Notes
Tagsno overlap
ForecastingFlowDelivery
PlanningTime managementFocus
EstimationForecastingFlow
PlanningTime managementProductivityOperations
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