Upcoming Webinars
Live webinars from AFixt on the practical side of digital accessibility: testing what users actually do, using AI coding tools without shipping new barriers, deciding what to fix first, and making a business case that holds up. Every session starts at 11:00 a.m. Eastern Time and runs on Zoom. Registration is per session.
Introducing UCDL
October 14, 2026, 11:00 a.m. ET
Here’s the uncomfortable truth: most test suites never ask whether a person can complete a task. They find buttons by CSS class, click them with a phantom mouse, and happily pass a form with no labels, a “button” you can’t reach by keyboard, and a success message nobody hears. Scanners check pages, not journeys. And the one method that does test journeys, expert use case testing with assistive technology, is so slow it gets done once before launch, if at all.
This session introduces UCDL, a new language for writing accessibility use cases as plain, readable steps, and a runner that turns them into automated tests. Every element is found the way assistive technology finds it: by role and accessible name. If a screen reader can’t find it, neither can the test.
We’ll take a passing test, rewrite it, and watch it fail in all the right places. Then we’ll check what a screen reader actually announced, run a journey with the mouse banned, and squeeze it into a 320-pixel viewport.
You’ll leave knowing why your current tests miss the barriers that matter most, and how to write task-level accessibility tests that your QA team, developers and product owners can all read.
Vibe Coding Accessibility
November 11, 2026, 11:00 a.m. ET
This session explores how today’s most powerful AI-based coding tools are shaping the future of accessible technology. With tools like GitHub Copilot, ChatGPT, and other AI code assistants becoming mainstream, developers face both new opportunities and new risks. This session will provide a candid overview of the leading AI coding platforms and evaluate how well they support accessibility—from generating accessible code patterns to avoiding common pitfalls that exclude users with disabilities. We’ll also discuss their role in remediation: Can AI help fix inaccessible code, or does it introduce new challenges? To ground the discussion, we’ll showcase real-world examples of accessible web and native mobile products built with the help of AI tools. Attendees will walk away with practical insights on what AI coding tools can (and can’t) do today, best practices for ensuring accessible outcomes, and a vision for how accessibility professionals and developers can “vibe” with AI to build more inclusive digital experiences.
Register for Vibe Coding Accessibility
Data Mining Accessibility
December 9, 2026, 11:00 a.m. ET
Everyone agrees the best approach to accessibility issues is to avoid them in the first place. What if we could predict problems before they happen?
Informed buying decisions—such as researching a product’s accessibility before buying the product or adopting a technology—is the true path to saving money and time on auditing and remediating issues after the system has been deployed. Using a variety of data sources, it is possible to weigh how accessible a site is while also identifying which technologies it uses. The aggregated data can be used to determine the error rates, error densities, and categories of errors. This information can allow organizations to make informed decisions when they choose which technologies to use on their sites. There are many ways that the implementation of technologies can affect the accessibility of the resulting interface. The use of large-scale data gathering will provide the opportunity for the impact of implementation differences from being a barrier to effective analysis. The data that we gathered in this process confirms how pervasive accessibility problems are on the web. It can also show risk patterns that can help organizations learn about potential accessibility problems related to specific technologies before they adopt those technologies. This presentation will discuss this ongoing research effort, including our current findings and our future research plans.
Register for Data Mining Accessibility
Prioritizing Remediation of Accessibility Issues
February 17, 2027, 11:00 a.m. ET
Most organizations don’t find out about their accessibility problems until they get an audit report, and by then the system is already live. The next question is always the same: where do we start?
Sorting by WCAG level isn’t the answer. It was never designed to set priority. In this webinar I’ll cover a simple way to prioritize by time and impact, and a more detailed model that weighs user impact, ease of repair and impact on the interface. I’ll also show how to manage remediation over time and measure your progress along the way.
This session is for anyone responsible for turning an audit report into a remediation plan.
Register for Prioritizing Remediation of Accessibility Issues
Understanding Accessibility ROI
March 24, 2027, 11:00 a.m. ET
A lot of the business cases people make for accessibility don’t hold up under scrutiny. Claims about SEO and alternative devices sound good, but they rarely lead to a return anyone can measure.
In this webinar I’ll cover what makes a business case credible, the metrics decision-makers actually care about, and how to test an ROI claim against them. We’ll also compare the real costs of three options – doing nothing, fixing issues now, or waiting until a lawsuit forces your hand – using data from real audits.
This session is for anyone who needs to justify or defend an accessibility budget.
Register for Understanding Accessibility ROI
Automation as Prevention
April 14, 2027, 11:00 a.m. ET
This talk is a discussion of the benefits of automatic testing as a prevention strategy and describes “Time to Bug” as accessibility testing KPI. The talk presents a discussion of the business value of automated testing as more than just detecting errors. Attendees will walk away with a higher level of understanding of the power that automation can provide toward compliance efforts and save a ton of money.