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| Criterion |  Agile Bucket System |  Growth Funnel Analysis |  Product Discovery Experiment Canvas |  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. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. | 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 | 30-90 min | 1-3 h | 30-60 min | 30-90 min |
Participantsdifferent | 3-12 | 1-5 | 1-5 | 3-12 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Funnel report, Drop-off analysis, Optimization hypotheses | Completed Experiment Canvas, Success Metric | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationBacklogRelative sizing | AnalyticsConversionGrowth | ExperimentsValidationDiscoveryHypothesis | EstimationBacklogRelative sizing |