View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Concierge MVP |  Agile Bucket System |  Agile Affinity Estimation |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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 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 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 | 1-4 Wochen | 30-90 min | 30-90 min | 1-5 Tage |
Participantsdifferent | 3-10 Kunden | 3-12 | 3-12 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | MVPValidationServiceDiscovery | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | ValidationExperimentsDemandDiscovery |