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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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
HighLowMediumLow
Timedifferent
1-4 Wochen45-90 min1-3 h1-2 h
Participantsdifferent
6-30 Experten3-121-52-8
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForce Field Map, Change Levers, Risk NotesFunnel report, Drop-off analysis, Optimization hypothesesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
ChangeDecisionStrategy
AnalyticsConversionGrowth
StrategyDecisionAssumptionsHypothesis
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