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Criterion
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for NoEstimates.
Agile
NoEstimates
Purposedifferent
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.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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.
Complexitydifferent
LowHighMediumMedium
Timedifferent
10-20 min daily30-90 min Setup, danach laufendOngoinglaufend
Participantsdifferent
11-82-122-12
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Daily Plan, Time Estimates, Review NotesForecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
PlanningTime managementProductivityOperations
ForecastingFlowDelivery
FlowVisual managementDelivery
EstimationForecastingFlow
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