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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A paper-based illustration representing Bounded Context Canvas with its core stages and visible working result.
Domain Modeling
Bounded Context Canvas
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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.When a business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
30-90 min1-2 h1-3 h1-4 Wochen
Participantsdifferent
3-122-83-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsDIBB document, Belief list, Bet list, Learning reportContext Canvas, Glossary, Integration NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationBacklogRelative sizing
StrategyDecisionAssumptionsHypothesis
Domain-Driven DesignBoundariesModeling
ForecastingExpertsDecisionStrategy
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