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| Criterion |  Growth A/B Testing |  Agile Planning Poker |  Product Discovery Smoke Test |  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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 2-5 min je Item | 1-5 Tage | 30-90 min |
Participantsdifferent | 1-6 | 3-9 | Nutzertraffic | 3-12 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Relative Estimates, Assumption Notes, Split Candidates | Interest Metrics, Conversion Signal, Learning Note | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationAgileRelative sizingTeam | ValidationExperimentsDemandGrowth | EstimationBacklogRelative sizing |