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| Criterion |  Growth A/B Testing |  Decision Making Wideband Delphi |  Agile Bucket System |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-4 h or multiple rounds | 30-90 min | 30-90 min |
Participantsdifferent | 1-6 | 4-12 Experten | 3-12 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Estimate Range, Assumption Log, Expert Consensus Notes | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationExpertsForecasting | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |