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| Criterion |  Growth Funnel Analysis |  Agile Bucket System |  Agile Planning Poker |  Agile Ideal Days |
|---|---|---|---|---|
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-3 h | 30-90 min | 2-5 min je Item | 15-60 min |
Participantsdifferent | 1-5 | 3-12 | 3-9 | 2-9 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Bucketed Backlog, Relative Estimates, Split Candidates | Relative Estimates, Assumption Notes, Split Candidates | Ideal Day Estimates, Assumption Notes, Capacity Caveats |
Tagsno overlap | AnalyticsConversionGrowth | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam | EstimationEffortAgile |