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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper notes move from an inbox to action, project and calendar collections.
Operations
Getting Things Done
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.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 many open commitments and ideas in daily life, a reliable external storage system emerges. The method relieves the mind so priority and context don't have to compete in memory.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
HighMediumMediumLow
Timedifferent
30-90 min Setup, danach laufendlaufend1-2 h Setup, laufend10-20 min daily
Participantsdifferent
1-82-1211
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationThroughput Data, Flow Forecast, Slicing RulesAction Lists, Project List, Review RoutineDaily Plan, Time Estimates, Review Notes
Tagsno overlap
ForecastingFlowDelivery
EstimationForecastingFlow
ProductivityPlanningTasksExecution
PlanningTime managementProductivityOperations
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