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Criterion
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
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.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.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
Half day1-4 Wochen1-4 h or multiple rounds1-2 h
Participantsdifferent
3-126-30 Experten4-12 Experten2-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Leverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption NotesEstimate Range, Assumption Log, Expert Consensus NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
EstimationExpertsForecasting
StrategyDecisionAssumptionsHypothesis
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