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| Criterion |  Agile Affinity Estimation |  Engineering Failure Scenario Analysis |  Product Strategy DIBB |  Decision Making Pre-Mortem |
|---|---|---|---|---|
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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 1-3 h | 1-2 h | 20–45 min |
Participantsdifferent | 3-12 | 3-8 | 2-8 | Small cross-functional group |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | DIBB document, Belief list, Bet list, Learning report | Risk list, Mitigation plan, Assumption log |
Tagsno overlap | EstimationBacklogRelative sizing | FailureResilienceRisk | StrategyDecisionAssumptionsHypothesis | RiskDecisionFailurePlanning |