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| Criterion |  Growth Growth Experiment |  Agile Affinity Estimation |  Product Discovery Smoke Test |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 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 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-2 Wochen | 30-90 min | 1-5 Tage | 30-90 min |
Participantsdifferent | 1-6 | 3-12 | Nutzertraffic | 3-12 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Experiment card, Result summary, Next bet | Affinity Size Map, Grouped Estimates, Unclear Items | Interest Metrics, Conversion Signal, Learning Note | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | MarketingGrowthExperimentsLearning | EstimationBacklogRelative sizing | ValidationExperimentsDemandGrowth | EstimationBacklogRelative sizing |