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| Criterion |  Engineering Failure Scenario Analysis |  Agile Ideal Days |  Agile Planning Poker |  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 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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 | Low | Low | Medium |
Timedifferent | 1-3 h | 15-60 min | 2-5 min je Item | 30-90 min |
Participantsdifferent | 3-8 | 2-9 | 3-9 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Relative Estimates, Assumption Notes, Split Candidates | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | FailureResilienceRisk | EstimationEffortAgile | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing |