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