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| Criterion |  Growth Funnel Analysis |  Agile Bucket System |  Growth A/B Testing |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 h | 30-90 min | 1-4 Wochen | 45-60 min |
Participantsdifferent | 1-5 | 3-12 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Bucketed Backlog, Relative Estimates, Split Candidates | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | AnalyticsConversionGrowth | EstimationBacklogRelative sizing | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |