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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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
LowHighHighHigh
Timedifferent
1-2 h1-4 h or multiple roundsHalf day1-4 Wochen
Participantsdifferent
2-84-12 Experten3-126-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportEstimate Range, Assumption Log, Expert Consensus NotesLeverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
EstimationExpertsForecasting
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
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