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| Criterion |  Agile Affinity Estimation |  Knowledge Modeling IBIS |  Agile Planning Poker |  Agile Story Points |
|---|---|---|---|---|
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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-3 h | 2-5 min je Item | laufend, 1-5 min je Item |
Participantsdifferent | 3-12 | 2-8 | 3-9 | 3-9 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Issue Map, Positions, Argument Notes | Relative Estimates, Assumption Notes, Split Candidates | Point Estimates, Reference Stories, Velocity Data |
Tagsno overlap | EstimationBacklogRelative sizing | RationaleKnowledgeDecision | EstimationAgileRelative sizingTeam | EstimationAgileMeasurement |