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| Criterion |  Agile Affinity Estimation |  Knowledge Modeling Event Modeling |  Product Strategy DIBB |  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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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 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 | Medium | Medium | Low | High |
Timedifferent | 30-90 min | 2-6 h | 1-2 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Event Model, UI Flow, Commands, Read Models | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationBacklogRelative sizing | EventsBlueprintDomain-Driven DesignBehavior | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |