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 Fake Door Test |  Product Discovery Learning Card |  Agile Affinity Estimation |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-5 Tage | 25-40 min | 30-90 min | 30-90 min |
Participantsdifferent | Nutzertraffic | 1-5 | 3-12 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Learning Card with evidence and next action | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryLearning | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |