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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Architecture C4 Model | ![]() Operations Failure Mode and Effects Analysis | ![]() Operations Scatter Diagram |
|---|---|---|---|---|
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. | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. |
Complexitydifferent | Low | Low | High | Low |
Timedifferent | 45–90 min | 1-4 h | 2-6 h | 30-90 min |
Participantsdifferent | 3-10 | 1-5 | 3-10 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Context Diagram, Container Diagram, Component Diagram | FMEA Table, Risk Priority, Mitigation Actions | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | SynthesisQualitativeRoot cause | ArchitectureCommunicationVisualization | RiskQualityOperationsRoot cause | Root causeQualityVisualization |



