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| Criterion |  Growth Funnel Analysis |  Agile Bucket System |  Product Discovery Smoke Test |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | 1-3 h | 30-90 min | 1-5 Tage | 30-90 min |
Participantsdifferent | 1-5 | 3-12 | Nutzertraffic | 3-12 |
Formatdifferent | Async | Workshop | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Bucketed Backlog, Relative Estimates, Split Candidates | Interest Metrics, Conversion Signal, Learning Note | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | AnalyticsConversionGrowth | EstimationBacklogRelative sizing | ValidationExperimentsDemandGrowth | EstimationBacklogRelative sizing |