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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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.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
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufend60-120 min45-90 min1-2 h
Participantsdifferent
1-82-83-122-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsForce Field Map, Change Levers, Risk NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingFlowDelivery
Theory of ConstraintsAssumptionsSystems thinking
ChangeDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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