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| Criterion |  Knowledge Modeling Knowledge Mapping |  Agile Specification by Example |  Agile Planning Poker |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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 | Medium | Low | Medium |
Timedifferent | 1-3 h | 60-90 min pro Feature | 2-5 min je Item | 30-90 min |
Participantsdifferent | 3-12 | 3-6 | 3-9 | 3-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Example Table, Acceptance Tests | Relative Estimates, Assumption Notes, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | KnowledgeMappingRisk | AgileRequirementsExamplesBehavior-Driven Development | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing |