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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
HighLowMedium
Timedifferent
1-4 Wochen1-2 h30-90 min
Participantsdifferent
6-30 Experten2-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption List
Tags1 shared
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for OODA Loop.
Decision Making
OODA Loop