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Pearson+ · Mobile & AI

Taking Pearson+ Channels to mobile for 1.5M students

Channels helps students understand hard subjects through short videos and practice. I designed its first native mobile experience and the AI features inside it.

  • 0 to 1
  • Mobile
  • AI features
Client
Pearson
My role
Lead UX Designer
Timeline
2022–2026
Team
Product and engineering
Three screens of the Channels mobile app: the channels list, a General Chemistry course page, and a lesson with a video.
01

Context

Pearson+ is Pearson’s study platform for students. Channels, part of Pearson+, uses short-form video and adaptive practice to explain complex academic concepts to over 1.5M active users.

02

The problem

Channels worked well on the web, but there was no native mobile app.

Students study on the go, and we wanted personalized AI tools to keep them engaged there. That meant designing the mobile experience from scratch while redesigning Study Prep around new AI features.

03

My role

I owned the UX strategy for Channels on mobile and its AI features, and led alignment between product and engineering.

  • Designed the Exam Prep mobile app end to end
  • Designed the entry points and flows for the AI Tutor and Adaptive Practice
  • Improved onboarding and the core learning flow
  • Planned around engineering constraints early, so the built product matched the designs
04

Process

The decisions that made the difference.

The full mobile flow, from the home screen through a channel and course page to lessons and practice problems.
The end-to-end mobile flow, from home to practice.

Start mobile from a blank page

We designed the Exam Prep app end to end for the phone, including onboarding and the core learning flow, instead of shrinking the website.

General Chemistry course page with a Personalize your experience prompt and a list of concept, example and practice lessons. A lesson screen with a progress bar, a concept video, and options to mark it complete or bookmark it.
Students tailor the course to their textbook, then move through concepts, examples and practice.

Put AI where students get stuck

The AI Tutor and Adaptive Practice sit inside the study flow. Adaptive Practice creates flashcards, practice and milestones based on each student’s performance.

Design with engineering limits in mind

By planning around data and technical limits from the start, the front end matched the designs with over 95% accuracy and very little rework.

05

Results

  • 1.5M

    active Channels users

  • $10.9M

    annual revenue goal reached ($10.2M US + $0.7M international)

  • 95%+

    match between designs and the built front end

Next case study Designing an AI tutor students can trust
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