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 Hypothesis Prioritization Canvas |  Product Discovery Learning Card |  Agile Bucket System |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 60-90 min | 25-40 min | 30-90 min | 1-5 Tage |
Participantsdifferent | 3-8 | 1-5 | 3-12 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Learning Card with evidence and next action | Bucketed Backlog, Relative Estimates, Split Candidates | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning | EstimationBacklogRelative sizing | ValidationExperimentsDemandDiscovery |