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| Criterion |  Agile Affinity Estimation |  Knowledge Modeling Event Modeling |  Product Strategy DIBB |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 2-6 h | 1-2 h | 45-90 min |
Participantsdifferent | 3-12 | 2-8 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Event Model, UI Flow, Commands, Read Models | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | EstimationBacklogRelative sizing | EventsBlueprintDomain-Driven DesignBehavior | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |