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 Opportunity Solution Tree |  Operations ABC Analysis |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 h Setup, laufend | 30-60 min | 1-5 Tage | 60-90 min |
Participantsdifferent | 2-6 | 1-5 | Nutzertraffic | 3-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | ABC Classification, Focus Rules, Control List | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | PrioritizationOperationsPortfolio | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |