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| Criterion |  Growth Funnel Analysis |  Agile Planning Poker |  Agile Affinity Estimation |  Growth A/B Testing |
|---|---|---|---|---|
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 1-3 h | 2-5 min je Item | 30-90 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-9 | 3-12 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Relative Estimates, Assumption Notes, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing | ExperimentsGrowthAnalyticsValidation |