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| Criterion |  Agile Affinity Estimation |  Growth Funnel Analysis |  Growth North Star Metric |  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 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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-3 h | 1-2 h | 30-90 min |
Participantsdifferent | 3-12 | 1-5 | 3-8 | 3-12 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Funnel report, Drop-off analysis, Optimization hypotheses | North Star metric, Input metric tree, Measurement cadence | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | AnalyticsConversionGrowth | GrowthMetricsAlignmentRetention | EstimationBacklogRelative sizing |