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| Criterion |  Agile Affinity Estimation |  Product Discovery Riskiest Assumption Test |  Agile Bucket System |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-2 Wochen pro Iteration | 30-90 min | 1-5 Tage |
Participantsdifferent | 3-12 | 2-6 | 3-12 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Prioritized Assumption List, Test Plan, Results Report | Bucketed Backlog, Relative Estimates, Split Candidates | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryAssumptions | EstimationBacklogRelative sizing | ValidationExperimentsDemandDiscovery |