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| Criterion |  Agile Affinity Estimation |  Domain Modeling Bounded Context Canvas |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
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. | 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. | 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 | Medium | Medium | High | Low |
Timedifferent | 30-90 min | 1-3 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | 3-12 | 3-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Context Canvas, Glossary, Integration Notes | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EstimationBacklogRelative sizing | Domain-Driven DesignBoundariesModeling | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |