Use Case

User Acceptance Testing Made Visual

Validate UI quality during user acceptance testing. Compare staging builds against Figma specs and export issues to Jira or Linear.

How visual UAT reduces post-release rework

Traditional user acceptance testing focuses on whether features work, not whether they look right. Spacing errors, color mismatches, and typography drift slip through because there is no structured way to compare staging builds against approved design specs during the acceptance phase.

OverlayQA powers the UI layer of your acceptance testing process. Compare staging builds against Figma specs, capture discrepancies with CSS selectors and computed values, and export structured issues to Jira or Linear. Your team ships knowing the UI meets the acceptance criteria, not just the functional ones.

Common challenges during UAT

• Visual issues skip UAT — Acceptance testing validates features and flows but rarely checks whether the UI matches the approved design spec.
• Manual visual checks are inconsistent — Reviewers eyeball staging builds without a reference design, catching some issues and missing others.
• UAT feedback lacks technical context — Testers report "this looks off" without CSS values, selectors, or screenshots that developers can act on.
• Visual rework after release — Design discrepancies discovered after deployment require hotfixes and unplanned sprints.

How visual UAT works with OverlayQA

1. Open your staging build — Navigate to your pre-release staging URL in the browser.
2. Compare against Figma specs — Select the approved Figma frame and compare it against the live staging build.
3. Capture visual discrepancies — Click any element to capture a screenshot, CSS values, and element details.
4. AI reviews and drafts issues — AI drafts structured issues with severity, CSS details, and a screenshot.
5. Export to your tracker — Send issues to Jira, Linear, or Notion with all context attached.

Frequently asked questions

What is UAT testing software?

UAT (user acceptance testing) software helps teams verify that a product meets acceptance criteria before release. OverlayQA adds a visual validation layer to UAT by letting teams compare staging builds against approved Figma specs, capture UI discrepancies with CSS context, and export structured issues to project trackers like Jira and Linear.

How is OverlayQA different from traditional UAT tools?

Traditional UAT tools focus on functional testing. OverlayQA focuses on visual validation — does the UI match the approved design spec. It captures CSS selectors, computed values, and screenshots so developers get actionable context.

What tools can I use for UAT testing?

Common UAT tools include TestRail and Zephyr for test case management, and BrowserStack for cross-browser testing. OverlayQA complements these by adding visual validation against Figma specs.

Can OverlayQA work on staging environments?

Yes. OverlayQA works on any URL your browser can access, including localhost, staging servers, and production.

How does visual UAT reduce post-release bugs?

By comparing staging builds against design specs during acceptance testing, visual UAT catches spacing errors, color mismatches, and typography drift before they reach production.