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Measure Engineering Team Performance

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Your question is Measure Engineering Team Performance. Take a moment with it on the right.

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Problem

Business Context

NovaCloud is a B2B SaaS company with 45 engineers across 6 product squads. Over the last two quarters, customer-reported bugs increased from 28 to 46 per month, average feature delivery time rose from 12 to 19 days, and platform uptime fell from 99.95% to 99.82%. The CTO wants a clear metric framework to evaluate engineering team performance without encouraging teams to optimize for speed at the expense of quality.

Metric Scenario

Engineering managers currently report different metrics: some focus on story points completed, others on deployment count or incident volume. Leadership wants a standardized dashboard for quarterly reviews and weekly operating meetings. You need to define which metrics should be used, how they should be calculated, and how to interpret trade-offs between delivery velocity, reliability, and engineering quality.

Last quarter, Team Atlas shipped 38 changes with a median cycle time of 9 days and 6 Sev-2 incidents. Team Beacon shipped 24 changes with a median cycle time of 16 days and 1 Sev-2 incident. Team Comet shipped 31 changes with a median cycle time of 11 days, but rollback rate increased from 4% to 11% after a release process change.

Requirements

  1. Define a balanced set of engineering performance metrics for team-level reporting.
  2. Identify which metrics are leading vs. lagging indicators.
  3. Explain how you would avoid vanity metrics such as raw story points or lines of code.
  4. Recommend how to compare teams fairly given different product areas and risk profiles.
  5. Propose guardrails so faster shipping does not reduce reliability or customer experience.

Data Available

  • Jira issues and sprint history
  • GitHub pull requests, commits, and review timestamps
  • CI/CD deployment logs and rollback events
  • Incident management logs with severity and resolution times
  • Customer support tickets linked to product defects