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| Criterion |  Agile Specification by Example |  Agile Story Points |  Agile Affinity Estimation |  Agile Planning Poker |
|---|---|---|---|---|
Purposedifferent | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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. | 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 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 | 60-90 min pro Feature | laufend, 1-5 min je Item | 30-90 min | 2-5 min je Item |
Participantsdifferent | 3-6 | 3-9 | 3-12 | 3-9 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Example Table, Acceptance Tests | Point Estimates, Reference Stories, Velocity Data | Affinity Size Map, Grouped Estimates, Unclear Items | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | AgileRequirementsExamplesBehavior-Driven Development | EstimationAgileMeasurement | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam |