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Criterion
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration for ABC Analysis
Operations
ABC Analysis
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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.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
MediumLowMediumHigh
Timedifferent
60-90 min30-60 minOngoing30-90 min Setup, danach laufend
Participantsdifferent
2-101-52-121-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
RICE Scores, Ranked List, Assumption LogABC Classification, Focus Rules, Control ListKanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
PrioritizationScoringRoadmapTradeoffs
PrioritizationOperationsPortfolio
FlowVisual managementDelivery
ForecastingFlowDelivery
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