A release confidence score
you can act on.

Every release meeting still runs on belief,
not evidence.
AI made developers faster
Testing didn’t keep pace. More code, more features, more changes per PR, and gaps open faster than any team can close them by hand.
Tests come from everywhere
Claude Code, Playwright, QA’s own suites, CI/CD. None of them compare notes.
Every release meeting ends the same way
Someone says "I think we’re good," and the decision gets made on that.
A number built to replace the gut feeling.
Validated against your sprint.
Compare test coverage against your spring context: GitHub PRs, Jira stories, Figma designs, and code changes that define what is being built right now.
Probabilistic, not binary.
Testsigma reports coverage with explicit confidence bounds. Coverage counts what’s tested. Confidence weighs how much to trust it.
A signal to act on.
READY, CONDITIONAL, or NOT READY, each backed by named evidence. Built to replace the gut feeling in the room, not add another tile to the dashboard.
What moves the score.
How release confidence scoring works
From sprint context to release signal in
one connected flow.
Context flows in
Jira, GitHub, Figma, PRDs, Claude Code, and CI/CD connect straight to Testsigma.

Coverage gets mapped
Every test is checked against this sprint's actual context, not just whether it passed.

Gaps are surfaced
When coverage is missing, Testsigma identifies the specific flows and gaps.

The score gets calculated
Coverage, critical-path status, gap severity, and source diversity combine into one number with stated bounds.

The gate fires
READY, CONDITIONAL or NOT READY, each with its evidence attached.

Gaps close automatically
Testsigma’s Generator agent drafts the missing tests. Run it, and the score updates. All of it lives in one system.

The Dashboard
Everything you need to make the release decision. In one view.

Who is it for
One confident release. One answer.
QA teams
You sign off on it. The coverage number is what you actually verified this sprint, not a guess you’re vouching for.
Engineering leaders
You’re accountable for it. Named evidence and stated confidence back you up, so you can confidently deploy.
Integrations
Plugs into your existing stack.
Context flows in automatically. Results flow back where your team already looks.
Frequently Asked Questions
