Data Visualization
Design System for Finance

I worked on 3 projects from 0→1: grounded AI integration, chatbot testing flow, and the data viz design system.

Context

Product Design Internship
May - Aug 2025

Kensho is S&P Global’s hub for AI innovation and transformation.

Role

Collaborated with Design Team, Engineers, PMs, and researchers.

Researched design system best practices.

Wrote extensive documentation to ensure engineers can implement designs with clarity and efficiency.

Iterated with feedback from front-end engineering.

Team

Ginny Zhao (mentor + buddy)

Billy Janitsch (front-end eng)

Emiri Chan (manager)

Shirley Anderson

Adam Norbury

Always provide rationale for design decisions.

With the product evolving so quickly, designs change constantly. Writing down my reasoning made it way easier for everyone to revisit decisions and understand the design. I got a lot of praise for “well thought” work, but honestly, it’s just because I wrote stuff down.
It also made PRDs way easier!

Things will get prioritized and deprioritized.

Some days I’d rush to meet urgent deadlines, only to have priorities shift unexpectedly. It was frustrating at first, but I’ve learned it’s a normal part of any job.

Good UX creates trust.

A big question for our team was:
"Why do people choose ChatGPT/Gemini over Spark Assist?"

Our product’s still very young, both the content and UX feel less polished, which impacts trust. Even one janky button can make the whole thing feel off.

HOME

Our previous design system touched on data visualization very briefly.

This was not enough information for
front-end engineers to deploy charts quickly.

Kensho’s platform requires a consistent way to visualize financial data across products. I took feedback primarily from front-end engineers and iterated on the documentation.