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| Criterion | ![]() Delivery Shape Up | ![]() Agile NoEstimates | ![]() Operations ALPEN Method | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 6 Wochen Cycle + 2 Wochen Cool-Down | laufend | 10-20 min daily | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-4 pro Pitch | 2-12 | 1 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Pitches, Bet-table decisions, Hill charts, Cooldown outcomes | Throughput Data, Flow Forecast, Slicing Rules | Daily Plan, Time Estimates, Review Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | PlanningDeliveryAutonomy | EstimationForecastingFlow | PlanningTime managementProductivityOperations | ForecastingFlowDelivery |



