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| Criterion |  Engineering Failure Scenario Analysis |  Agile Affinity Estimation |  Agile Ideal Days |  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 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 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 | Medium | Low | Low |
Timedifferent | 1-3 h | 30-90 min | 15-60 min | 2-5 min je Item |
Participantsdifferent | 3-8 | 3-12 | 2-9 | 3-9 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
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 | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | FailureResilienceRisk | EstimationBacklogRelative sizing | EstimationEffortAgile | EstimationAgileRelative sizingTeam |