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 Problem Interview |  Product Discovery Opportunity Solution Tree |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. | 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 | 30-60 min je Interview | 1-2 h Setup, laufend | 60-90 min | 1-5 Tage |
Participantsdifferent | 5-12 Interviews | 2-6 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Opportunity Solution Tree, Experiment Backlog, Learning Log | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tags1 shared | DiscoveryInterviewsValidation | DiscoveryOutcomesExperimentsOpportunity | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |