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| Criterion |  Agile Affinity Estimation |  Engineering Failure Scenario Analysis |  Product Discovery Assumption Mapping |  Agile Bucket System |
|---|---|---|---|---|
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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-3 h | 45-60 min | 30-90 min |
Participantsdifferent | 3-12 | 3-8 | 2-8 | 3-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Assumption map, Test backlog, Risk ranking | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | FailureResilienceRisk | AssumptionsRiskExperimentsValidation | EstimationBacklogRelative sizing |