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| Criterion |  Agile Affinity Estimation |  Product Strategy Impact Mapping |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
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 a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 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 | Medium | High |
Timedifferent | 30-90 min | 45-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Impact Map, Outcome Hypotheses, Delivery Options | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationBacklogRelative sizing | OutcomesStrategyBehaviorPlanning | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |