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| Criterion |  Facilitation Dot Voting |  Product Discovery Opportunity Solution Tree |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | 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 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 | Low | Medium | Medium | Medium |
Timedifferent | 5-15 min | 1-2 h Setup, laufend | 1-5 Tage | 60-90 min |
Participantsdifferent | 3-20 | 2-6 | Nutzertraffic | 3-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Ranked list, Consensus signal, Shortlist | Opportunity Solution Tree, Experiment Backlog, Learning Log | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | FacilitationVotingConsensusPrioritization | DiscoveryOutcomesExperimentsOpportunity | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |