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| Criterion |  Agile Affinity Estimation |  Product Discovery Context Canvas |  Agile Specification by Example |  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. | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-90 min | 45-90 min | 60-90 min pro Feature | 2-5 min je Item |
Participantsdifferent | 3-12 | 3-10 | 3-6 | 3-9 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Context canvas, Open questions, Shared context notes | Example Table, Acceptance Tests | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | ContextFramingRequirementsCanvas | AgileRequirementsExamplesBehavior-Driven Development | EstimationAgileRelative sizingTeam |