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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Purposedifferent
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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.
Complexitydifferent
HighMediumHighMedium
Timedifferent
30-90 min Setup, danach laufend60-90 min1-4 Wochen45-90 min
Participantsdifferent
1-82-106-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRICE Scores, Ranked List, Assumption LogExpert Forecast, Consensus Range, Assumption NotesDecision Matrix, Scoring Rationale, Selected Option
Tagsno overlap
ForecastingFlowDelivery
PrioritizationScoringRoadmapTradeoffs
ForecastingExpertsDecisionStrategy
DecisionCriteriaScoringTradeoffs
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