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 Scoring | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 60-120 min | 60-90 min | 45-90 min | 1-2 h |
Participantsdifferent | 3-6 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Prioritization Canvas, Hypothesis Backlog | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |



