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| Criterion |  Agile Affinity Estimation |  Engineering Failure Scenario Analysis |  Agile Bucket System |  Agile Planning Poker |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 | Medium | Low |
Timedifferent | 30-90 min | 1-3 h | 30-90 min | 2-5 min je Item |
Participantsdifferent | 3-12 | 3-8 | 3-12 | 3-9 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Bucketed Backlog, Relative Estimates, Split Candidates | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | FailureResilienceRisk | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam |