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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Experiment Canvas |  Agile Bucket System |
|---|---|---|---|
Purposedifferent | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 |
Timedifferent | 1-4 Wochen | 30-60 min | 30-90 min |
Participantsdifferent | 3-10 Kunden | 1-5 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis | EstimationBacklogRelative sizing |
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