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Criterion
Paper illustration of a branching impact map with a Why goal at the root, actor circles, How behavior changes and What options.
Product Strategy
Impact Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures.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.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.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
MediumHighHighLow
Timedifferent
45-90 min1-4 Wochen30-90 min Setup, danach laufend1-2 h
Participantsdifferent
3-86-30 Experten1-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Impact Map, Outcome Hypotheses, Delivery OptionsExpert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
OutcomesStrategyBehaviorPlanning
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
StrategyDecisionAssumptionsHypothesis
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