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| Criterion | ![]() Architecture C4 Model | ![]() Decision Making Pareto Analysis | ![]() Decision Making Eisenhower Matrix | ![]() 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. | 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 1-4 h | 30-60 min | 15-30 min | 30-90 min |
Participantsdifferent | 1-5 | 1-6 | 1-6 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Pareto Chart, Top Causes, Focus List | Eisenhower Matrix, Action List, Delegation Notes | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | ArchitectureCommunicationVisualization | PrioritizationQualityFocusRoot cause | PrioritizationFocusTasks | Root causeQualityVisualization |



