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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a yellow story card, blue rule cards, green example cards and a red question card on a light workspace.
Agile
Example Mapping
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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.When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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 Wochen30-60 min15-60 min je Zyklus1-2 h
Participantsdifferent
6-30 Experten3-71-82-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesExample Map, Acceptance Criteria, Open QuestionsSituation Assessment, Decision Loop, Action UpdatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
Behavior-Driven DevelopmentRequirementsExamplesRefinement
DecisionChangeLearningStrategy
StrategyDecisionAssumptionsHypothesis
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