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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.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.
Complexitydifferent
HighLowMediumHigh
Timedifferent
30-90 min Setup, danach laufend45-90 min45-120 min1-4 Wochen
Participantsdifferent
1-83-122-86-30 Experten
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationForce Field Map, Change Levers, Risk NotesTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
ForecastingFlowDelivery
ChangeDecisionStrategy
TradeoffsDecisionCriteriaOptions
ForecastingExpertsDecisionStrategy
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