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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper notes move from an inbox to action, project and calendar collections.
Operations
Getting Things Done
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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 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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufend1-2 h Setup, laufend30-90 min10-20 min daily
Participantsdifferent
1-812-81
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAction Lists, Project List, Review RoutineConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDaily Plan, Time Estimates, Review Notes
Tagsno overlap
ForecastingFlowDelivery
ProductivityPlanningTasksExecution
ConstraintsDecisionPlanningOptions
PlanningTime managementProductivityOperations
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