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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Knowledge Modeling IBIS | ![]() Operations Root Cause Analysis | ![]() Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 45–90 min | 1-3 h | 1-4 h | 15-30 min |
Participantsdifferent | 3-10 | 2-8 | 3-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Issue Map, Positions, Argument Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Root cause notes, Countermeasures |
Tagsno overlap | SynthesisQualitativeRoot cause | RationaleKnowledgeDecision | Root causeProblem solvingQualityIncident | Root causeIncidentLeanProblem solving |



