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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Operations Ivy Lee Method | ![]() Operations Root Cause Analysis | ![]() Decision Making Pareto Analysis |
|---|---|---|---|---|
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. | With a restless workday full of too many open items, the method creates radical simplicity. It directs attention to a short sequence instead of a broad, still-open field. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 45–90 min | 5-10 min daily | 1-4 h | 30-60 min |
Participantsdifferent | 3-10 | 1 | 3-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Daily Priority List, Completion Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SynthesisQualitativeRoot cause | PrioritizationProductivityExecution | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause |



