What I’ve learned
Framing the MVP as a starting point drove team buy-in and defined a plan to execute the design vision.
2024 · 5 min read
Generative AI for the IBM Research blog
Product Design Intern at IBM
My role
I was the UX Design Intern leading the experience for 14 weeks from discovery and implementation, iterating closely with Design, PM, and Engineering.
I led 20+ interviews to identify key pain points, facilitated design sprints by iterating on prototypes based on user testing to present to 12 stakeholders, and launched three user-centered genAI features.
Goal
IBM Research blog is the main destination with over 100,000 visits per month and 500+ blog posts. Our goal is to leverage the platform to enhance the readers’ experience through generative AI.
Challenge
After interviewing 20 users:
- 18/20 readers had difficulty finding relevant blog posts.
- Researchers struggled to find relevant content inside blog links.
- 50% of readers dropped off halfway, losing engagement.
How might we help readers engage with blog content they are interested in?
Solution
Takeaways provide readers with a quick understanding of the blog post, saving them time finding content.
Using the IBM Carbon AI design system.
Iteration #1
Provides a summary of the link to help readers understand the link without leaving the page. However, the position of the preview required too much eye movement.
Problem #3
Clients and researchers struggled to discover new blog posts.
Iteration
Side position was distracting to the readers when reading.
Impact
90%
of clients found the blog summary helpful for finding relevant content faster.
95%
of researchers found link previews helpful for finding relevant content inside blog links.
90%
of readers found related blogs helpful for discovering blog posts they were interested in.
If I had more time
I would explore the C-suite’s problem space to design solutions tailored to their priorities.