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| Criterion |  Agile Affinity Estimation |  Agile Bucket System |  Product Discovery Concierge MVP |  Product Discovery Learning Card |
|---|---|---|---|---|
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 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-90 min | 30-90 min | 1-4 Wochen | 25-40 min |
Participantsdifferent | 3-12 | 3-12 | 3-10 Kunden | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates | Concierge Learnings, Service Blueprint, MVP Risks | Learning Card with evidence and next action |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryLearning |