Analysis Patterns

Patterns for data analysis, metrics evaluation, and systematic troubleshooting.

Core Approaches

Data Analysis

• Examine data for patterns, anomalies, and insights

• Assess performance metrics and KPIs

• Visualize complex relationships with mermaid or graphviz

Systematic Troubleshooting

• Divide and conquer: Split problem space in half repeatedly

• Binary search: Isolate variables to find root cause

• Timeline analysis: Map events chronologically

Analysis Checklist

• Context: Understand the full picture before diving in

• Data quality: Verify data accuracy and completeness

• Patterns: Look for trends, cycles, outliers

• Root cause: Don't stop at symptoms

• Evidence: Document findings with supporting data

• Visualization: Create diagrams to communicate findings

Visualization Tools

Use graphviz-diagrams skill or documentation-generator:mermaid-expert for:

• Flowcharts showing data flow

• Sequence diagrams for event timelines

• State diagrams for system states

• Pie/bar charts for distributions