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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() UX Research User Interviews | ![]() Product Strategy DIBB | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-3 h | 30–60 min per interview | 1-2 h | 45-60 min |
Participantsdifferent | 3-12 | 1 participant per interview | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Interview Notes, Themes, Insight Summary | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeMappingRisk | QualitativeResearchCustomerDiscovery | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation |



