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| Criterion | ![]() Architecture C4 Model | ![]() UX Research Affinity Diagramming | ![]() Operations Failure Mode and Effects Analysis | ![]() Operations Scatter Diagram |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | 1-4 h | 45–90 min | 2-6 h | 30-90 min |
Participantsdifferent | 1-5 | 3-10 | 3-10 | 1-4 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Theme clusters, Insight statements, Opportunity areas | FMEA Table, Risk Priority, Mitigation Actions | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | ArchitectureCommunicationVisualization | SynthesisQualitativeRoot cause | RiskQualityOperationsRoot cause | Root causeQualityVisualization |



