Export Engineering Metrics in 2 Minutes (Copy This Script)

Dashboards are great for daily monitoring, but sometimes you need raw data—for custom reports, executive presentations, or integration with other tools. This guide covers how to export engineering metrics from CodePulse and what you can do with the data.

Why Export Your Metrics?

While CodePulse provides comprehensive dashboards, there are several reasons to export data:

• Custom reports: Create presentations tailored to specific stakeholders
• Historical analysis: Build trend analyses beyond dashboard time ranges
• Cross-tool integration: Combine with data from other systems (Jira, HR tools, etc.)
• Compliance documentation: Maintain audit trails of engineering metrics
• Offline access: Review data without dashboard access
• Custom visualizations: Build charts in Excel, Sheets, or BI tools

Available Export Options in CodePulse

CodePulse supports CSV export across several areas:

Repository Metrics Export

Export metrics for individual repositories, including:

• Velocity metrics: Cycle time, PRs merged, deployment frequency
• Quality metrics: Test failure rate, review coverage, PR size
• Activity metrics: Commits per day, change frequency

Each export includes the time period, metric name, value, and period dates for full context.

Contributor Data Export

Export contributor information for a repository:

• Developer name and GitHub login
• Commit count
• PR count
• Lines changed

Developer Metrics Export

Export individual developer metrics:

• All productivity metrics for a developer
• Time period context
• Formatted metric names

Comparison Export

When comparing repositories, export the comparison data:

• Side-by-side metrics for multiple repos
• Metric labels and types
• All repositories in a single export

Building Custom Reports

Executive Summary Report

Combine exports to build a comprehensive executive report:

1. Export organization-level metrics: Overall velocity, quality, and productivity
2. Export per-repository data: Break down by team or service
3. Import to spreadsheet: Excel or Google Sheets
4. Create summary charts: Trend lines, comparisons, highlights
5. Add narrative context: What the numbers mean

For presentation tips, see our Board-Ready Engineering Metrics guide.

Weekly Team Report Template

Weekly Engineering Metrics Report
Week of: [Date]

## Summary
- PRs Merged: [X] (↑/↓ vs last week)
- Avg Cycle Time: [X hours] (↑/↓ vs last week)
- Deployment Frequency: [X/day]

## Quality Indicators
- Test Failure Rate: [X%]
- Review Coverage: [X%]
- Avg PR Size: [X lines]

## Highlights
- [Notable achievements]
- [Areas of concern]
- [Action items]

## By Repository
| Repository | PRs Merged | Cycle Time | Test Failures |
|------------|------------|------------|---------------|
| repo-1     | X          | X hours    | X%            |
| repo-2     | X          | X hours    | X%            |

For a more detailed template, see our Weekly Engineering Status Report Template.

Trend Analysis

Export multiple time periods to build trend analyses:

1. Export weekly data for the past quarter
2. Combine into a single spreadsheet
3. Create line charts showing trends over time
4. Add trend lines to identify patterns
5. Highlight anomalies for investigation

Integrating with Other Tools

Spreadsheet Analysis

CSV exports work seamlessly with:

• Microsoft Excel: Full compatibility, pivot tables, charts
• Google Sheets: Collaborative analysis, easy sharing
• Apple Numbers: Basic analysis and visualization

Business Intelligence Tools

Import CSV data into BI platforms for advanced analysis:

• Tableau: Rich visualizations, data blending
• Power BI: Microsoft ecosystem integration
• Looker: SQL-based analysis
• Metabase: Open-source option

Combining with Other Data Sources

Engineering metrics become more powerful when combined with:

Automating Regular Exports

Scheduled Export Workflows

For teams that need regular exports, consider setting up automated workflows:

• Weekly digest: Export and email metrics every Monday
• Monthly report: Compile monthly summaries automatically
• Quarterly board pack: Pre-populate executive templates

Building Custom Dashboards

If you need metrics in a specific format or combined with other data:

1. Set up regular CSV exports
2. Use a script or tool to import into your data warehouse
3. Build custom dashboards in your BI tool of choice
4. Schedule automatic refresh

Export Best Practices

Data Hygiene

• Consistent time periods: Always export the same date ranges for comparison
• Document your exports: Note when and why you exported data
• Version your reports: Keep historical versions for audit trails
• Validate data: Spot-check exports against dashboard values

Privacy Considerations

When exporting and sharing data:

• Aggregate when possible: Team metrics over individual metrics
• Control access: Limit who can view developer-level exports
• Follow company policy: Ensure exports comply with data handling policies
• Don't weaponize: Use data for improvement, not punishment

For more on ethical metrics use, see our guide on Measuring Performance Without Micromanaging.

Presentation Tips

• Context over numbers: Raw data needs narrative explanation
• Trends over snapshots: Show direction, not just current state
• Benchmarks: Compare to industry standards or past performance
• Action items: Every metric shown should connect to a potential action

Common Export Use Cases

Board Reporting

Quarterly board presentations often need:

• High-level velocity trends (PRs merged, deployment frequency)
• Quality indicators (test pass rate, review coverage)
• Comparison to previous quarters
• Headcount efficiency metrics

Team Retrospectives

Sprint or quarterly retrospectives benefit from:

• Cycle time breakdown by phase
• PR size distribution
• Review workload balance
• Hotspot and churn data

Hiring Justification

When requesting headcount:

• Throughput trends vs business demand
• Cycle time increases indicating capacity constraints
• Review bottleneck data
• Comparison to industry benchmarks

For more on using data for planning, see our Capacity Planning with PR Data guide.