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| Criterion |  Agile Bucket System |  Knowledge Modeling IBIS |  Growth A/B Testing |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | High | Medium |
Timedifferent | 30-90 min | 1-3 h | 1-4 Wochen | 30-90 min |
Participantsdifferent | 3-12 | 2-8 | 1-6 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Issue Map, Positions, Argument Notes | Experiment results, Decision log, Learning summary | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationBacklogRelative sizing | RationaleKnowledgeDecision | ExperimentsGrowthAnalyticsValidation | EstimationBacklogRelative sizing |