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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper notes move from an inbox to action, project and calendar collections.
Operations
Getting Things Done
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.Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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.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.
Complexitydifferent
HighMediumLowMedium
Timedifferent
30-90 min Setup, danach laufend6 Wochen Cycle + 2 Wochen Cool-Down10-20 min daily1-2 h Setup, laufend
Participantsdifferent
1-82-4 pro Pitch11
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationPitches, Bet-table decisions, Hill charts, Cooldown outcomesDaily Plan, Time Estimates, Review NotesAction Lists, Project List, Review Routine
Tagsno overlap
ForecastingFlowDelivery
PlanningDeliveryAutonomy
PlanningTime managementProductivityOperations
ProductivityPlanningTasksExecution
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