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Criterion
Scenario Planning method illustration showing its working structure
Business Strategy
Scenario Planning
Paper illustration for NoEstimates.
Agile
NoEstimates
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
Scenario Planning opens the view to several plausible futures instead of a single forecast. The method protects strategies from depending on too narrow an expected path.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.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
HighMediumMediumHigh
Timedifferent
0.5-2 Tagelaufend1-3 h30-90 min Setup, danach laufend
Participantsdifferent
4-122-122-81-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Scenario Set, Strategic Implications, Robust OptionsThroughput Data, Flow Forecast, Slicing RulesGap Matrix, Action Plan, Risk NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
StrategyUncertaintyPlanning
EstimationForecastingFlow
StrategyAnalysisPlanning
ForecastingFlowDelivery
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