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| Criterion |  Agile Affinity Estimation |  Decision Making Assumption Surfacing |  Product Discovery Fake Door Test |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 45-90 min | 1-5 Tage | 30-90 min |
Participantsdifferent | 3-12 | 2-8 | Nutzertraffic | 3-12 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Assumption List, Critical Assumptions, Learning Plan | Click Data, Interest Signal, Learning Decision | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | AssumptionsRiskDecisionDiscovery | ValidationExperimentsDemandDiscovery | EstimationBacklogRelative sizing |