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| Criterion | ![]() UX Research Affinity Diagramming | ![]() UX Research HEART Framework | ![]() Operations A3 Problem Solving | ![]() Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 45–90 min | 120 min initial, dann laufend | 45-90 min | 2-8 h |
Participantsdifferent | 3-10 | 3-6 | 2-5 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | HEART-GSM Table, Dashboard | A3 Report, Action Plan, Root Cause Analysis | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | MetricsUX researchMeasurementSatisfaction | LeanProblem solvingCoachingOperations | Problem solvingRoot causeDecisionOperations |



