CASE STUDY

AccessibleLearn: Voice-First Education

Designing a learning platform that prioritizes auditory processing, reducing visual friction for neurodivergent learners.

MISSION

To create an educational environment that minimizes cognitive load by prioritizing voice-led interaction over dense, text-heavy visual interfaces.

The Goal

Develop a responsive web application prototype tailored for adult learners with dyslexia and ADHD, emphasizing a listening-first content delivery approach and a clear, low-friction learning progression.

UX Design

Accessibility

Voice UI

The Friction in E-Learning

Traditional platforms inadvertently create barriers for neurodivergent learners.

Traditional platforms inadvertently create barriers for neurodivergent learners.

Visual Overload

Dense text blocks and complex navigation patterns often introduce unnecessary cognitive load, leading to fatigue, frustration, and early drop-off in engagement.

Dense text blocks and complex navigation patterns often introduce unnecessary cognitive load, leading to fatigue, frustration, and early drop-off in engagement.

Secondary Audio

In many existing platforms, audio options are buried within secondary menus or treated as supplementary features, rather than being designed as a primary mode of learning.

In many existing platforms, audio options are buried within secondary menus or treated as supplementary features, rather than being designed as a primary mode of learning.

Precision Targets

Small interactive elements and tightly packed touch targets demand fine motor precision, introducing avoidable physical friction that can hinder smooth navigation and accessibility.

Small interactive elements and tightly packed touch targets demand fine motor precision, introducing avoidable physical friction that can hinder smooth navigation and accessibility.

THE SOLUTION

A Voice-First Paradigm

We inverted the traditional learning model. Instead of requiring learners to read first and opt into audio, the experience prioritizes conversational audio from the start, supported by high-contrast, visually spacious transcripts that reduce cognitive load and improve accessibility.

Listening Mode

Active Processing

Role & Process

Role

Lead Product Designer

Timeline

9 Weeks

I led the end-to-end design process, from initial generative research into accessibility standards to high-fidelity prototyping.

AI as a Design Partner: Throughout the process, I leveraged AI tools to accelerate ideation, generate realistic placeholder content tailored to adult learners, and validate design decisions against complex WCAG 2.1 accessibility guidelines. This enabled me to focus more deeply on the tactile, auditory, and visual nuances of the interface.

Research

Wireframing

UI Design

Prototyping

UI Design

Prototyping

Intentional Decisions

Information Chunking

Content is broken down into

manageable, bite-sized cards. This

prevents visual fatigue and provides clear stopping points for learners who need frequent breaks.

Accessible Touch Targets

All interactive elements adhere to a

minimum 4rem (64px) height, ensuring ease of use for individuals with motor

impairments.

Large Primary Action

Persistent Audio Anchor

A fixed audio player remains accessible regardless of scroll

depth. The "Voice Orb" provides visual feedback

(pulsing/breathing) to indicate listening or processing states

without relying on text status.

Gallery

Home Dashboard

Clear entry points.

Response Overview

Voice-first launch.

Audio Playback

High-contrast toggles.

WCAG Considerations

Accessibility was treated as a foundational principle rather than an enhancement. The design system adopts the Lexend typeface to improve reading clarity and throughput. Contrast ratios were carefully calibrated to meet AA/AAA standards, while avoiding harsh pure black tones to reduce visual strain. Instead of relying on sharp 1px borders, spatial boundaries are defined through subtle tonal variations, resulting in a softer, more approachable interface that reduces sensory overload.

Outcome

The AccessibleLearn prototype presents a viable direction for more inclusive educational technology. By shifting the paradigm from "read-first" to "listen-first," the design addresses documented barriers faced by neurodivergent learners. Key accessibility decisions were validated against WCAG 2.1 AA/AAA standards throughout the process, with the design system, interaction patterns, and audio-first architecture serving as a foundation for future development and real-world testing.

Reflection & Next Steps

Designing for neurodiversity required a fundamental shift in how visual hierarchy was approached. The “no-line” principle encouraged reliance on spacing, rhythm, and tonal depth rather than explicit borders, resulting in a cleaner, more cohesive, and less visually intrusive interface.

Future work will focus on expanding voice recognition capabilities to better support diverse speech patterns and accents, as well as exploring adaptive pacing algorithms that personalize audio playback speed based on individual learner preferences and cognitive needs.

Interested in connecting?

Let’s talk projects, collaborations, or anything design!

Interested in connecting?

Let’s talk projects, collaborations, or anything design!

Interested in connecting?

Let’s talk projects, collaborations, or anything design!

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