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| Criterion |  Growth Funnel Analysis |  Agile Affinity Estimation |  Product Discovery Test Card |  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 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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 | Medium | Low | High |
Timedifferent | 1-3 h | 30-90 min | 20-35 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-12 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Affinity Size Map, Grouped Estimates, Unclear Items | Test Card with a pre-set threshold | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |