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| Criterion |  UX Research Usability Testing |  Product Strategy DIBB |  Innovation Design Sprint |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-2 h je Session | 1-2 h | 4-5 Tage | 45-60 min |
Participantsdifferent | Based on research question | 2-8 | 5-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Usability Issues, Severity List, Recommendations | DIBB document, Belief list, Bet list, Learning report | Prototype, Test Findings, Decision Rationale | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ValidationUXPrototype | StrategyDecisionAssumptionsHypothesis | Design sprintPrototypeValidationInnovation | AssumptionsRiskExperimentsValidation |