Case Study: Accessibility Feature Prioritization

Case Study: Accessibility Feature Prioritization

A survey study to inform feature development for Clarivate’s eBook Central

Client

ProQuest eBook Central (part of Clarivate)

Role

Survey Design

UX Research

Data Analysis

Stakeholders

Product Managers

UX Team

Presented

March 2025

eBook Central, Clarivate’s academic reading platform lacked basic accessibility tools. The only existing feature was partial text resizing in ePub format.

During an earlier mixed-method evaluation, we benchmarked EBC against accessibility features from peer platforms (Apple Books, Libby, etc.) and found EBC underperformed on all key dimensions.

During an earlier mixed-method evaluation, we benchmarked EBC against accessibility features from peer platforms (Apple Books, Libby, etc.) and found EBC underperformed on all key dimensions.

To build on this insight, I co-led a follow-up accessibility survey during my internship at Clarivate. The goal was to identify which features users actually rely on, and which ones should be prioritized in future development.

Goals

01
Understand how different user groups, especially students and faculty, engage with accessibility tools

02
Explore the relationship between academic role, device usage, and feature preferences

03
Inform product roadmap decisions with data-driven evidence

Survey Structure

Tool
Qualtrics (embedded in Book Details page)

Questions
7 total.  Optimized to reduce drop-off and maximize completion
ndergraduate students, faculty, and researchers

Responses
293 completed all questions from 902 survey takers

Follow-up opt-ins
48

Demographics
Graduate and undergraduate students, faculty, and researchers

I also noted the timing of the survey, launched in the summer, likely influenced lower undergraduate participation. This informed how I interpreted the data.

KEY INSIGHTS

01

Laptops were the primary device for reading across all user groups
Why this matters: it helps EBC prioritize features for the environments users actually read in, e.g., larger screen sizes and desktop interactions.

KEY INSIGHTS

01

Laptops were the primary device for reading across all user groups
Why this matters: it helps EBC prioritize features for the environments users actually read in, e.g., larger screen sizes and desktop interactions.

KEY INSIGHTS

01

Laptops were the primary device for reading across all user groups
Why this matters: it helps EBC prioritize features for the environments users actually read in, e.g., larger screen sizes and desktop interactions.

02

Text read-aloud needs vary with graduate students showing highest preference
Faculty reported lower need, likely due to their different use cases (e.g., assigning rather than consuming texts). This set the stage for future qualitative inquiry into reading habits and assistive workflows.

02

Text read-aloud needs vary with graduate students showing highest preference
Faculty reported lower need, likely due to their different use cases (e.g., assigning rather than consuming texts). This set the stage for future qualitative inquiry into reading habits and assistive workflows.

02

Text read-aloud needs vary with graduate students showing highest preference
Faculty reported lower need, likely due to their different use cases (e.g., assigning rather than consuming texts). This set the stage for future qualitative inquiry into reading habits and assistive workflows.

03

Dark mode is in demand, but not background customization
Users wanted a simple toggle for dark mode, but showed little interest in manually adjusting background or text colors. This suggested that simpler, high-impact changes should be prioritized over granular controls.

03

Dark mode is in demand, but not background customization
Users wanted a simple toggle for dark mode, but showed little interest in manually adjusting background or text colors. This suggested that simpler, high-impact changes should be prioritized over granular controls.

03

Dark mode is in demand, but not background customization
Users wanted a simple toggle for dark mode, but showed little interest in manually adjusting background or text colors. This suggested that simpler, high-impact changes should be prioritized over granular controls.

04

Full-screen mode emerged as the most essential feature
It ranked consistently at the top across demographics. Its high utility and low complexity made it a clear candidate for near-term implementation.

04

Full-screen mode emerged as the most essential feature
It ranked consistently at the top across demographics. Its high utility and low complexity made it a clear candidate for near-term implementation.

04

Full-screen mode emerged as the most essential feature
It ranked consistently at the top across demographics. Its high utility and low complexity made it a clear candidate for near-term implementation.

Summary

01 Laptop-first platform


02 Full-screen mode ranked highest

03 Graduate students preferred read-aloud tools


04 Users wanted dark mode, not full customization

Impact

This study clarified which features matter most to academic readers, and which assumptions could be safely dropped. The findings helped product and design teams sharpen their focus and sparked new questions around accessibility, device behavior, and user intent.

Next Steps
01
Interview participants who opted in, focusing on workflow-specific use of assistive tools


02
Include an optional disability/status question to differentiate accessibility vs. convenience


03
Re-run the survey in Fall or Spring to include broader student representation

Reflection
This project helped move accessibility research from abstract user feedback to structured product recommendations. It also sharpened my skills in targeted survey design, fast-turnaround synthesis, and stakeholder alignment.

Thank you for reading!