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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Time Blocking
Operations
Time Blocking
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for ALPEN Method
Operations
ALPEN Method
Purposedifferent
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 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.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 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
MediumLowHighLow
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down15-30 min Planung, laufend30-90 min Setup, danach laufend10-20 min daily
Participantsdifferent
2-4 pro Pitch11-81
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesBlocked Calendar, Capacity View, Focus PlanForecast Percentiles, Throughput Dataset, Risk CommunicationDaily Plan, Time Estimates, Review Notes
Tagsno overlap
PlanningDeliveryAutonomy
PlanningTime managementFocus
ForecastingFlowDelivery
PlanningTime managementProductivityOperations
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