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| Criterion |  Agile Bucket System |  Growth Hooked Model |  Product Discovery Smoke Test |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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 | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | Multiple workshops over several weeks | 1-5 Tage | 30-90 min |
Participantsdifferent | 3-12 | 2-8 | Nutzertraffic | 3-12 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Hooked loop, Trigger map, Reward design, Ethics check | Interest Metrics, Conversion Signal, Learning Note | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationBacklogRelative sizing | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth | EstimationBacklogRelative sizing |