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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.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.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.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
MediumHighHighLow
Timedifferent
30-60 min1-4 WochenHalf day1-2 h
Participantsdifferent
2-66-30 Experten3-122-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleExpert Forecast, Consensus Range, Assumption NotesLeverage Map, Action StrategyDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
BacklogIterationDelivery
ForecastingExpertsDecisionStrategy
Systems thinkingChangeStrategy
StrategyDecisionAssumptionsHypothesis
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