Flaky Test Triage

84% of your CI failures are fake. Find the real ones.

Zerocheck records failure cause, run history, screenshots, recordings, and trend data so engineers can separate likely product regressions from noisy runs.

Who this is for

Role
QA lead, engineering manager, or SRE
Company
B2B SaaS or platform (50–500 engineers) with an existing test suite and flakiness problem
Trigger
Flake rate exceeds 30%, engineers routinely re-run pipelines, same production incident happens for the third time

The pain is real

“At Google, we found that 84% of pass-to-fail transitions are caused by flaky tests - not real bugs.”

Google Testing Blogsource

“We completely lost trust in our build, and red builds no longer meant anything. Before releases, we would spend about 3 days looking at all the failures and fixing them.”

ThoughtWorks Engineeringsource

“To our users, a postmortem without subsequent action is indistinguishable from no postmortem.”

Ben Treynor Sloss, Google VP for 24/7 Operationssource

“Your team had the same incident 3 times. The fix was in the postmortem every time. Nobody did it.”

DEV Communitysource

84% of pass-to-fail transitions at Google are caused by flaky tests, not actual bugs

800 million seconds (25 years) of flaky tests re-run monthly on Buildkite alone

60% of post-incident action items never get completed

Why nobody else solves this

Flaky test dashboards show patterns, but engineers still need enough run evidence to decide whether a failure blocks merge. Zerocheck focuses on failure details, run history, screenshots, recordings, and blocking status.

The incident-to-regression gap is worse. The intended flow: incident → root cause → regression test → prevention. In practice, postmortem action items rot in Jira. No tool automates the path from production error to executable regression test.

The workflow today vs. with Zerocheck

Without Zerocheck

Developer PRs a typo fix. CI: 5 tests fail. Re-run: 3 pass, 2 still fail. QA investigates for 2 hours. 1 real failure (unrelated), 1 known flake. EM: “Merge it, fix the flake next sprint.” Never fixed. Flake rate hits 40%. Meanwhile: production incident at 2am, postmortem generates “add regression test,” Jira ticket created, deprioritized. 3 months later: same incident recurs.

With Zerocheck

PR comment and dashboard evidence show the failure cause, screenshots, recording, step trace, and recent run history. Engineers can separate likely product regressions from noisy runs without guessing from a red check alone.

How it works

1

CI failure includes evidence and run history

2

PR comment shows failure details, blocking status, and evidence

3

Failure history and trend data make noisy tests visible for repair

4

Suggested regression tests can be reviewed and approved after incidents

FAQ

How does Zerocheck help triage noisy failures?

It records failure cause, run history, screenshots, recordings, and step traces. Engineers can see what happened and whether a pattern looks noisy without relying on a bare red/green check.

Do noisy tests block merge?

Only approved tests configured with blocks_merge can fail the PR status. Non-blocking tests and suggested tests are reported without blocking merge.

Can incidents become regression coverage?

Teams can add or approve suggested regression tests after an incident. Those tests only become active PR checks after review and approval.

84% of your CI failures are fake. Find the real ones.

Know if a failure is real in 30 seconds. Turn every incident into a permanent regression test.

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