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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() UX Research Affinity Diagramming | ![]() 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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | 45–90 min | 1-2 h | 45-60 min |
Participantsdifferent | 3-12 | 3-10 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Theme clusters, Insight statements, Opportunity areas | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeMappingRisk | SynthesisQualitativeRoot cause | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation |



