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| Criterion |  Engineering Failure Scenario Analysis |  Agile Affinity Estimation |  Agile Ideal Days |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | 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 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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h | 30-90 min | 15-60 min | 30-90 min |
Participantsdifferent | 3-8 | 3-12 | 2-9 | 3-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Affinity Size Map, Grouped Estimates, Unclear Items | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | FailureResilienceRisk | EstimationBacklogRelative sizing | EstimationEffortAgile | EstimationBacklogRelative sizing |