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| Criterion | ![]() UX Research User Interviews | ![]() Operations Change Analysis | ![]() Product Strategy DIBB | ![]() UX Research Affinity Diagramming |
|---|---|---|---|---|
Purposedifferent | 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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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 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. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 30–60 min per interview | 45-120 min | 1-2 h | 45–90 min |
Participantsdifferent | 1 participant per interview | 2-6 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Change Matrix, Cause Hypotheses, Validation Questions, Action List | DIBB document, Belief list, Bet list, Learning report | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ChangeRoot causeTroubleshootingComparison | StrategyDecisionAssumptionsHypothesis | SynthesisQualitativeRoot cause |



