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| Criterion |  Agile Affinity Estimation |  Product Discovery Experiment Canvas |  Decision Making Assumption Surfacing |  Agile Bucket System |
|---|---|---|---|---|
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 30-90 min | 30-60 min | 45-90 min | 30-90 min |
Participantsdifferent | 3-12 | 1-5 | 2-8 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Completed Experiment Canvas, Success Metric | Assumption List, Critical Assumptions, Learning Plan | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | EstimationBacklogRelative sizing |