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Our operations scorecard tracks project completion dates, but we frequently face post-launch bugs that eat our service delivery margins. What predictive, weekly quality-assurance metric can our tech lead own to stop broken work from slipping through?

Tracking project completion dates or software deployment velocity is useless if your team is delivering bug-ridden work that causes client crises and drains your engineering capacity. To protect your service delivery margins, your tech lead must own a weekly QA metric that acts as a quality filter before work is completed. A highly effective metric for this seat is the bug leakage rate or post-deployment hotfix count. This tracks the number of critical issues or code bugs discovered by clients or support staff within seven days of a release or project launch. Another powerful metric is the ratio of QA testing hours to development hours, which ensures your team is not rushing work to hit arbitrary deadlines. By tracking these leading indicators on your scorecard, you create a natural balance to speed metrics. If your development velocity is high but your post-release bug count spikes, your scorecard immediately flags a quality issue. This allows your leadership team to identify the breakdown in your deployment process during your weekly Level 10 Meeting, rather than finding out weeks later when clients threaten to leave. It ensures your technical execution is both fast and stable.

Category: Scorecards & Data

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