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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Agile Planning Poker | ![]() Facilitation Dot Estimation | ![]() Agile Affinity Estimation |
|---|---|---|---|---|
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 | Medium | Low | Low | Medium |
Timedifferent | 1-3 h | 2-5 min je Item | 5-20 min | 30-90 min |
Participantsdifferent | 3-8 | 3-9 | 3-20 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Relative Estimates, Assumption Notes, Split Candidates | Effort Heatmap, Risk Signals, Discussion Targets | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | FailureResilienceRisk | EstimationAgileRelative sizingTeam | EstimationEffortRisk | EstimationBacklogRelative sizing |



