How FastPass in Accessibility Insights Finds Accessibility Issues Quickly
Updated
FastPass is a guided test mode in Accessibility Insights that runs an automated scan for common, high-impact accessibility issues and returns results in under five minutes. It is available in both Accessibility Insights for Web (a Chrome and Microsoft Edge browser extension) and Accessibility Insights for Windows (a desktop tool). It is the right starting point if you want to catch frequent errors early in development rather than run a full manual audit.
What FastPass actually does
FastPass combines automated checks with visualizations and fix guidance. According to the site, it is designed to "swiftly catch most common accessibility issues in less than 5 minutes," and the Visual Helper feature lets you "quickly spot accessibility errors with visualizations and learn how to fix issues with simple guidance."
So the speed comes from two things working together:
- Automated rules that flag common failures without you inspecting every element by hand.
- On-screen visualizations that point to the failing element in context, so you spend time fixing rather than searching.
How to run it
The exact menu labels differ between the Web extension and the Windows app, but the flow is the same:
- Install the tool for your platform. For Web, add the browser extension for Chrome or the new Microsoft Edge. For Windows, install the desktop application.
- Open the target. Load the webpage or web app in the browser, or open the Windows application you want to test.
- Launch FastPass from the tool's test options.
- Run the automated checks and wait for the scan to complete — the site positions this as under five minutes for common issues.
- Review each flagged result. Use the Visual Helper overlay to locate the element on the page or in the UI.
- Apply the suggested fix, then re-run FastPass to confirm the issue is resolved.
Expected result: a list of common accessibility errors tied to specific elements, each with guidance on how to correct it.
What FastPass covers — and what it does not
| Dimension | FastPass |
|---|---|
| Speed | Under 5 minutes for common issues |
| Coverage | Most common, high-impact accessibility errors |
| Standard alignment | The site states Accessibility Insights assesses websites for WCAG 2.1 AA coverage |
| Output | Flagged issues with visualizations and fix guidance |
| Platforms | Web (Chrome, Microsoft Edge) and Windows |
The important caveat: FastPass is a fast first pass, not a complete conformance audit. Automated checks cannot catch every WCAG 2.1 AA criterion — things like meaningful reading order, sensible focus behavior, and whether alt text is actually accurate still need human judgment. Treat FastPass as the step that clears the obvious errors before you invest time in manual testing.
Where it fits in a development workflow
The site frames the tool around shipping accessible products, and FastPass is the entry point for that. A practical sequence:
- Run FastPass as soon as a page or screen is functional, to catch common errors while the code is still fresh.
- Fix what it flags, using the built-in guidance.
- Move to deeper manual checks for the criteria automation cannot verify.
- For Windows apps, the same tool also exposes Live Inspect for verifying UI Automation properties and a Color Contrast Analyzer for investigating contrast ratios, so you can dig into specific issues without switching tools.
Common sticking points
- Assuming a clean FastPass means accessible. It means no common automated failures were detected. Manual testing is still required for full WCAG 2.1 AA coverage.
- Skipping the re-run. After fixing, run FastPass again — a change that resolves one issue can introduce another.
- Testing only one platform. Web and Windows are separate tools with separate results; a passing web scan says nothing about your desktop app.
- Ignoring the visualization step. The overlay exists to shorten the fix loop. Reading raw results without it usually takes longer.
Accessibility Insights is open source on GitHub, and the site notes that opting into telemetry helps the community develop inclusive software — relevant if your team has questions about data collection before rolling it out.