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AI agent for ctos

Engineering Metrics Health Review Agent

Metric changes are understood and turned into useful questions, not blame.

AnalysisExecutives and strategyManagementIT and development
See how it worksGet access
Engineering Metrics Health Review Agent: what goes in, what the agent does and what you get

What it does

The dashboard shows lead time rising, and leaders either ignore it or blame the wrong team. This agent reads deployment frequency, lead time, change failure and incident data, finds trend shifts and checks whether a team change, release or holiday explains them. It drafts questions for team leads and rechecks the numbers after they respond. It treats a metric change as a question, not a verdict, and remembers earlier explanations so the same freeze or reorganization is not raised twice. Replies from team leads are added to the review, so the next month starts with context. Edge case: a drop in deployments is explained by a freeze week, so the agent notes it and moves on. The CTO approves any follow-up with teams.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Monthly metrics arrive 2 USES A TOOL Read delivery and incident metrics 3 DOES Find trend shifts larger than the set threshold 4 USES A TOOL Check team changes, releases and holidays forexplanations 5 CHECKS THE RESULT Is the shift explained by a known event? If not: note it and drop the flag. Back to step 3. 6 DOES Draft questions for team leads on unexplained shifts 7 YOU APPROVE CTO approves what is sent to teams 8 USES A TOOL Collect responses and update the analysis 9 CHECKS THE RESULT Do the answers explain the shift? If not: ask a follow-up or flag it for review. Back tostep 5. 10 RESULT Metrics health review
Read the steps as a list
  1. Monthly metrics arrive
  2. Read delivery and incident metrics
  3. Find trend shifts larger than the set threshold
  4. Check team changes, releases and holidays for explanations
  5. Is the shift explained by a known event?If not: note it and drop the flag. Back to step 3.
  6. Draft questions for team leads on unexplained shifts
  7. CTO approves what is sent to teamsThe agent waits here for your OK.
  8. Collect responses and update the analysis
  9. Do the answers explain the shift?If not: ask a follow-up or flag it for review. Back to step 5.
  10. Metrics health review

How it decides

It flags shifts above a set size and tests whether known events explain them before raising a question.

  • Flag shifts above 20% against the 3-month average.
  • Do not compare teams with different work types.
  • Check events before drafting questions.
  • Frame questions as curiosity, not blame.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Shift threshold
  • Metrics tracked
  • Review frequency
  • Event sources
  • Question tone

What keeps you in control

It always asks you first

  • Every message to a team lead

Hard limits

  • Do not rank people or teams in the report.
  • Do not message teams without approval.

It stops when

  • Done: shifts are explained or logged for follow-up
  • Stop: the metric data is incomplete, so the agent asks for a fix

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensLead time rises from 3.1 to 4.4 days for one team. The check finds a new junior hire and a freeze week, which explain half. The agent drafts a question about review waiting time. The CTO approves it. The lead replies that two reviewers were on leave. The agent notes it and the shift is closed as explained.

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