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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.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
MediumMediumLowHigh
Timedifferent
laufend1-3 h10-20 min daily30-90 min Setup, danach laufend
Participantsdifferent
2-122-811-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesGap Matrix, Action Plan, Risk NotesDaily Plan, Time Estimates, Review NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
StrategyAnalysisPlanning
PlanningTime managementProductivityOperations
ForecastingFlowDelivery
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