Report technical debt to your board with actual data.
Stop relying on engineer estimates and vibes. Get concrete metrics about code quality, test coverage, dependency health, and architecture risks. Data the board can actually use.
- Specific metrics: coverage %, complexity scores, dependency counts
- Track trends over time: is debt growing or shrinking?
- Risk-based prioritization: which debt actually matters?
Teams spend 23% of development time on technical debt. Now you can show the board exactly where that time goes.
Test Coverage: 67% (+5% from Q3)
Outdated Dependencies: 12 packages (down from 23)
Code Complexity: 8 files above threshold
Security: 0 known vulnerabilities
Top Risk: Billing service (0% coverage, high change frequency)
Technical debt metrics that boards understand.
Coverage Trends
QualityTest coverage percentage over time. Track quarterly progress. Identify which areas of the codebase are highest risk.
Dependency Health
SecurityOutdated packages, known CVEs, end-of-life frameworks. Concrete numbers on your security posture.
Complexity Hotspots
VelocityFiles that are complex AND frequently changed. These are where bugs come from and velocity slows down.
Make technical debt a business conversation, not a plea for time.
"We need 20% of capacity for tech debt" becomes "We're reducing our 12 outdated dependencies to 0 this quarter, eliminating 2 CVE risks."
Show the board that tech debt investments are paying off. Quarter-over-quarter improvements in concrete metrics.
Not all debt is equal. Focus board attention on debt that actually impacts velocity or creates security exposure.
Walk into your next board meeting with data.
Not estimates. Not vibes. Actual metrics.