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Metrics · Updated 2026-09-17

Review coverage

The share of changes that actually received a meaningful review before merging — as opposed to the share that received an approval.

What it is

Two numbers that look the same and are not: the percentage of pull requests with an approval, and the percentage that a human actually read. Branch protection guarantees the first. Nothing guarantees the second.

How to see the gap

Proxies that expose rubber-stamping: approvals within a minute of the request, approvals on diffs above a few hundred lines with no comments, and the distribution of comments per pull request. A team with ninety-five percent approval coverage and a median of zero comments is not reviewing; it is unblocking.

Why it matters before you buy a tool

If your real coverage is low because reviewers are overloaded, automation can genuinely help — it clears the mechanical findings so the human read is cheaper. If it is low because pull requests are too large to read, a tool will not fix it, and adding bot comments to an unread diff changes nothing.

Diagnose which one you have before attributing the problem to missing tooling.

Common mistakes

  • Reporting approval rate as review coverage.
  • Requiring two approvals as a fix, which usually adds latency and diffuses responsibility.
  • Counting bot comments toward coverage. A bot reading a change is not a colleague understanding it.

[ Tools where this matters ]

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See which tools actually deliver this

Scored against 9 standards, with the source for every claim.

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