
Case study: Fable’s cognitive accessibility pilot
The working group is made up of four task forces, each with a specific objective:
“For too long, cognitive accessibility has been an afterthought in digital product development. This is despite the fact that cognitive disability is the most prevalent form of disability, affecting nearly 14% of the U.S. population. We can’t build truly inclusive experiences without including people with disabilities in the research process — including individuals with cognitive accessibility needs.”

Alwar Pillai
Co-founder and CEO, Fable
Building the cognitive panel
The participants task force chose early on not to focus on medical diagnosis as a recruiting criteria. This was to avoid pitfalls around medical diagnoses such as excluding participants without a formal diagnoses and medical labels that don’t account for individual experiences. Challenges arise from a mismatch between technology and user needs.
We decided it was more useful, and less harmful, to recruit based on needs, challenges, and assistive technology usage. This approach is consistent with Fable’s recruitment for assistive technology user panels.
We chose to focus on the most prevalent cognitive needs. This meant starting with people who experience challenges with memory, attention, and/or reading and writing. These categories overlap a wide range of permanent and temporary cognitive disabilities including neurodivergence and are likely to have high impact on how people use digital products. Our focus may expand to other cognitive needs in the future.
To identify participants, we created a screener survey using questions drawn from a wide range of sources including clinical research, UX/UI practices, and academic needs-based studies. The screener confirmed that cognitive accessibility needs are deeply interconnected with the use of assistive tools and technologies. It also showed the intersectionality of cognitive needs, with many participants experiencing challenges in more than one domain.
Developing methods
With our participant panel in place, the team turned their focus toward developing research methods tailored to cognitive participant needs and methods to quantify study findings.
We reviewed 24 academic and industry studies spanning topics such as aging, learning disabilities, cognitive disabilities, Autism, intellectual disabilities, Down Syndrome, Dementia, and others.
Findings from the literature review were put into a cognitive accessibility engagement guide to support the research task force in planning and running research sessions.
We also explored ways of measuring participant’s experiences. We discarded metrics that we didn’t think would align with participant needs. One example was the smiley-o-meter which is a way for participants to indicate how they felt about a task:

Anna Tendera, Methodologies task force lead, explains why we discarded it: “There are cultural differences country to country. Plus, people with Autism are known to struggle more with identification of emotions and expressions.”
Ultimately, we adapted Fable’s Accessible Usability Scale (AUS) survey for cognitive participants to build on Fable’s years of use of the AUS and the well-known System Usability Scale (SUS). We also created a simplified Single Ease Questionnaire (SEQ) that researchers could administer during sessions.
Facilitating the study
For our pilot research study, we evaluated one of Fable’s products – Fable Pathways – which offers free courses for people with disabilities through our own learning management system.
The protocol was designed to identify areas where cognitive load might be challenging. It included reviewing content, evaluating search results, determining course progress, and recalling lessons.
The research task force ran 13 moderated and 11 unmoderated user testing sessions with a cognitive panel that Fable recruited. During the moderated sessions researchers guided participants through tasks, sometimes using the SEQ to gather task-specific feedback. After each research session participants completed the cognitive AUS survey.
Analyzing the findings
As a starting point, we created a spreadsheet with the issues found by each participant categorized by:
- severity
- category (navigation, content, images, etc.)
- type of issue (accessibility, usability, or both)
We also evaluated participants on their tech savviness, noted their use of assistive technology and other supports, and took into consideration their cognitive AUS scores. participants using screen readers.
Our analysis found content related insights were the most common issue category at 29% of all issues. This is different from what we see with assistive technology audiences where tech compatibility is the biggest issue category. We also saw significant overlap between accessibility and usability issues with 42% of issues tagged as both. Lastly, 26% of issues were categorized by the researcher as high severity, indicating the importance of this audience’s insights.
“It was interesting to see how much intersectionality these participants had. Most had multiple cognitive needs and many also used assistive technology (AT), but in different ways than Fable’s community members who rely on AT for vision loss and mobility disabilities. For example, we saw participants using screen readers and captions to help with reading comprehension.”

Kate Kalcevich
Working group co-chair
