Blog Post
Design QA is the process of systematically comparing a live implementation against its design spec to identify visual discrepancies before they reach production. It bridges the gap between what was designed in tools like Figma and what was actually built in code.
Visual bugs are expensive. A mismatched color, incorrect spacing, or wrong font weight might seem minor in isolation, but across a product these inconsistencies erode user trust and brand perception. Studies show that 94% of first impressions are design-related, and users form opinions about a site in as little as 50 milliseconds.
Without design QA, teams commonly face:
Visual regression testing uses automated screenshot comparisons to detect unintended changes between builds. Design QA is different: it compares the implementation against the original design intent, not against a previous build. Both are valuable, but they solve different problems. Visual regression catches regressions. Design QA catches the gap between intent and implementation.
Manual design QA means toggling between Figma and the browser, eyeballing differences, and writing up issues by hand. It works, but it is slow and error-prone. Tool-assisted design QA automates the tedious parts: overlaying design specs on live builds, capturing element properties, and generating structured issue reports with CSS values, selectors, and screenshots.
OverlayQA is a browser extension that lets you click any element on a staging build to capture its CSS properties, take a screenshot, and generate a structured issue with full technical context.
Instead of writing "the button looks wrong," your team ships issues like "Button padding is 8px 20px, expected 12px 24px per the design spec" with a screenshot, the element selector, and a link to the Figma frame.