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| Criterion |  Agile Ideal Days |  Engineering Failure Scenario Analysis |  Agile Bucket System |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 15-60 min | 1-3 h | 30-90 min | 30-90 min |
Participantsdifferent | 2-9 | 3-8 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationEffortAgile | FailureResilienceRisk | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |