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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper scorecard with four perspectives, connected objective cards and columns for measures, targets and initiatives.
Business Strategy
Balanced Scorecard
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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 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.Balanced Scorecard translates strategy into a few interconnected perspectives and metrics. It holds impact, steering, and learning together in daily work instead of narrowing strategy down to financial figures.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighHighHighLow
Timedifferent
30-90 min Setup, danach laufend1-4 WochenHalber Tag bis mehrere Wochen1-2 h
Participantsdifferent
1-86-30 Experten4-122-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption NotesBalanced Scorecard, Strategic Measures, Initiative MapDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
StrategyMetricsExecution
StrategyDecisionAssumptionsHypothesis
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