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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Scoring |  Facilitation Dot Voting |  Product Discovery Experiment 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. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-2 h Setup, laufend | 60-120 min | 5-15 min | 30-60 min |
Participantsdifferent | 2-6 | 3-6 | 3-20 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Opportunity Score Table, Top Outcomes | Ranked list, Consensus signal, Shortlist | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | PrioritizationDiscoveryOutcomesNeeds | FacilitationVotingConsensusPrioritization | ExperimentsValidationDiscoveryHypothesis |