found takeaways helpful for deciding which posts to read
Designing AI features that make dense technical blogs easier to read
Details
Role:Product Design Intern at IBM
Timeline:May - August 2024
Research:20+ in-person interviews
Rollout:Launching across 500+ blog posts
Overview
At IBM Research, I designed and prototyped three AI features for the research blog. The work helped readers understand posts faster, preview linked content, and learn more without leaving the article.
Context
The IBM Research blog had reach, but dense content made it hard to scan.
Readers were willing to go deep, but they still needed faster ways to understand what a post was about, whether a link was worth opening, and how to learn more without losing their place.
Traffic
100,000+ visits per month
Library
500+ research blog posts
Scope
Research, interaction design, prototyping, and testing
Problem
Readers were spending too much time scanning, leaving the page, and losing context.
The opportunity was not a separate AI assistant. It was lightweight help inside the reading flow itself.
Outcome
Designed three AI reading features for IBM Research that help readers understand dense technical posts faster without losing context.
The features are launching across the IBM Research blog, and testing showed the strongest value came from helping readers orient faster without interrupting the article.
found link previews helpful for deciding whether to open linked content
found content explanations helpful for diving deeper into topics