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| Criterion | ![]() Knowledge Modeling IBIS | ![]() Product Discovery Problem Interview | ![]() Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-3 h | 30-60 min je Interview | 60-90 min |
Participantsdifferent | 2-8 | 5-12 Interviews | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Issue Map, Positions, Argument Notes | Problem Evidence, Risk Notes, Customer Segments | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | RationaleKnowledgeDecision | DiscoveryInterviewsValidation | ExperimentsPrioritizationDiscoveryHypothesis |
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