Accessibility Testing

Accessibility testing verifies that a product works for all users, including those with visual, auditory, motor, and cognitive disabilities. This includes ensuring that screen readers can parse the content, that keyboard navigation works for all interactive elements, that color contrast meets minimum ratios, that media includes captions or transcripts, and that interactive components provide appropriate feedback. Beyond ethical responsibility, accessibility directly impacts growth: approximately 15 percent of the global population lives with some form of disability, representing a massive market segment. Additionally, many accessibility improvements, like clear labeling, logical tab order, and high contrast text, improve usability for all users. For growth teams, accessibility testing ensures that conversion funnels do not inadvertently exclude potential customers and that the product complies with legal requirements like the ADA, Section 508, and the European Accessibility Act.

Accessibility testing combines automated scanning, manual evaluation, and assistive technology testing. Automated tools like axe-core, WAVE, Lighthouse, and Pa11y scan the DOM for common violations such as missing alt text, insufficient color contrast, missing form labels, and improper heading hierarchy. These tools catch approximately 30 to 50 percent of accessibility issues automatically. Manual testing covers the remaining issues: keyboard navigation testing verifies that all interactive elements are reachable and operable via keyboard, screen reader testing with tools like NVDA, JAWS, or VoiceOver verifies that content is announced correctly, and cognitive accessibility review assesses whether content is clear, predictable, and forgiving of errors. Growth engineers should integrate automated accessibility checks into the CI pipeline using axe-core or Lighthouse CI, ensuring that new code does not introduce accessibility regressions.

Accessibility testing should be conducted throughout the development lifecycle, not just before launch. The cost of fixing accessibility issues increases dramatically the later they are discovered, from minutes during design to hours during development to days during post-launch remediation. A common pitfall is relying solely on automated tools and declaring the product accessible when no violations are found, while automated tools miss critical issues like logical reading order, meaningful link text, and appropriate use of ARIA attributes. Another mistake is testing only with one screen reader on one browser, when different assistive technology combinations can produce different experiences. Test with at least VoiceOver on Safari for macOS, NVDA on Chrome for Windows, and TalkBack on Android for mobile.

Advanced accessibility testing practices include establishing WCAG 2.1 AA as the minimum standard while aiming for AAA compliance on critical content. Inclusive user testing, where participants with actual disabilities test the product, provides insights that no automated tool or expert review can replicate. Some organizations embed accessibility champions within each product team who conduct ongoing accessibility reviews as part of the sprint process. AI-powered tools are emerging that can suggest ARIA attributes, generate alt text for images, and predict accessibility issues from design files before code is written. For growth teams, accessibility testing is not merely a compliance checkbox but a competitive advantage: products that work seamlessly for users with disabilities earn loyalty and advocacy from an underserved market segment while simultaneously improving the experience for everyone.