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A release confidence score
you can act on.

Testsigma’s release confidence scoring gives you an evidence-based answer before every deploy, so the release decision is never a guess.
G2 Cloud
Testsigma - Nokia
Testsigma - Zeiss
Testsigma - DHL
Testsigma - Kfc
Testsigma - Carrier
Amway
Testsigma - Sanofi
Testsigma - Nagra
Testsigma - Space42
Testsigma - Puma
Testsigma - VF Corporation
Arizona
Testsigma - Finance House
Testsigma - Iifl
Testsigma - Puma
Testsigma - State Form
Testsigma - Kendra Scott
Testsigma - Nokia
Testsigma - Zeiss
Testsigma - DHL
Testsigma - Kfc
Testsigma - Carrier
Amway
Testsigma - Sanofi
Testsigma - Nagra
Testsigma - Space42
Testsigma - Puma
Testsigma - VF Corporation
Arizona
Testsigma - Finance House
Testsigma - Iifl
Testsigma - Puma
Testsigma - State Form
Testsigma - Kendra Scott

Every release meeting still runs on belief,
not evidence.

Release decisions are still guesses. No shared signal confirms the right things are tested against what’s actually shipping.

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.

Release confidence is contextual coverage with a confidence score. It works differently from a pass rate in three ways.

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.

Context flows in

Coverage gets mapped

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

Coverage gets mapped

Gaps are surfaced

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

Gaps are surfaced

The score gets calculated

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

The score gets calculated

The gate fires

READY, CONDITIONAL or NOT READY, each with its evidence attached.

The gate fires

Gaps close automatically

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

Gaps close automatically

The Dashboard

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

Release confidence

Who is it for

One confident release. One answer.

QA teams

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

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.

Claude Code
Linear
AWS
Slack
Mantis
Cursor
Trello
CircleCI
Microsoft Teams
Bugzilla
Codex
Figma
Azure DevOps
Google Chat
Jira
GitHub
ClickUp
Jenkins
Jira
Travis CI
monday.com

Frequently Asked Questions

Stop guessing. Start shipping
with confidence.

See your release confidence score against a live sprint in a 30-minute demo.