Priya Venkatesan — Product Designer

EY Studio+

Learning by building, across client work, research, and AI experimentation

Summary

During my internship at EY Studio+, I worked across a Fortune 500 client engagement and internal design initiatives exploring emerging generative AI tools. From client work to rapid prototyping, the summer became an exercise in learning, building, and experimenting quickly.

My Contribution

As an intern, I contributed to experience design for an entertainment client. I also tested emerging AI tools and built prototypes to understand what they could do. Separately, I noticed similar experiments happening across Studio+ with no shared place to find them, so I built and deployed a website to bring our AI experimentation projects across EY Studio+ together.

Timeline

June 2026 to August 2026

Team

3 Senior Managers

2 User Research Leads

1 Product Designer

1 UX Researcher

1 UX Design Intern

Tools

Figma

VS Code

Replit

Github AI Copilot

Skills

Experience Design

User Research

AI Prototyping

Interaction Design

At a Glance

Six different projects exploring new ways to research, design, and build with AI

AI Persona Visualization

Designed a generative AI plugin that turns CSV data into detailed user persona visualizations

Visualizing AI Insights

Designed interaction patterns for making AI-generated research outputs easier to interpret

LLM Prompting

Used LLMs to develop sub-personas from quantitative research, exploring granular differences between guest needs.

"UX Is Everywhere"

Presented to 80+ Studio+ colleagues on how design principles show up beyond traditional digital products

Experimentation Playbook

Built a full-stack Replit app where the Studio+ team can host and share the AI experiments and projects they've been working on

Generative AI Figma Plugin

Built a plugin that extracts a Figma file's metadata and turns it into into a Spotify Wrapped-style summary for fun!

Overview

Six different projects exploring new ways to research, design, and build with AI

Brief descriptions detailing experiments across AI research, interaction design, and rapid prototyping. Select visuals are blurred to protect confidential client work. Please reach out to me directly to priyavenkatesan@berkeley.edu to learn more.

AI Persona Visualization

Designed a generative AI plugin that turns CSV data into detailed user persona visualizations

Visualizing AI Insights

Designed interaction patterns for making AI-generated research outputs easier to interpret

LLM Prompting

Used LLMs to develop sub-personas from quantitative research, exploring granular differences between guest needs.

"UX Is Everywhere"

Presented to 80+ Studio+ colleagues on how design principles show up beyond traditional digital products

Experimentation Playbook

Built a full-stack Replit app where the Studio+ team can host and share the AI experiments and projects they've been working on

Generative AI Figma Plugin

Built a plugin that extracts a Figma file's metadata and turns it into into a Spotify Wrapped-style summary for fun!

At a Glance

Six different projects exploring new ways to research, design, and build with AI

AI Persona Visualization

Designed a generative AI plugin that turns CSV data into detailed user persona visualizations

Visualizing AI Insights

Designed interaction patterns for making AI-generated research outputs easier to interpret

LLM Prompting

Used LLMs to develop sub-personas from quantitative research, exploring granular differences between guest needs.

"UX Is Everywhere"

Presented to 80+ Studio+ colleagues on how design principles show up beyond traditional digital products

Experimentation Playbook

Built a full-stack Replit app where the Studio+ team can host and share the AI experiments and projects they've been working on

Generative AI Figma Plugin

Built a plugin that extracts a Figma file's metadata and turns it into into a Spotify Wrapped-style summary for fun!

Testimonials

Reflections from the people I worked alongside

Her engagement team, including the Senior Manager and Partner, consistently shared positive feedback and expressed how impressed they were with her performance

Engagement Manager

…she also introduced methodological approaches that strengthened the rigour of the work, such as using LLM prompting and evaluating different models to test and refine the outputs.

Senior UX Researcher

Priya was instrumental in translating the thinking into a client-ready format, with a design that communicated the most relevant aspects clearly and effectively.

Senior Designer

My experience of working with Priya on the project has been extremely positive.

Senior Product Designer

She actively looked for opportunities to expand her experience beyond her engagement by volunteering to present at the Design Crit and Design Research community calls.

Senior Product Designer

She is highly switched on: she communicates her perspective confidently, asks thoughtful questions that often prompt me to reconsider or sharpen my own thinking, and takes care to confirm her understanding before progressing.

Design Manager

Reflection

This summer reminded me how much I love to experiment.

I came into Studio+ wanting to learn new AI tools. Through testing new capabilities, building quick prototypes, and sharing work early, I learned to use experimentation as part of my design process. Building quickly gave me something tangible to test, share, and improve, often leading to ideas I wouldn’t have reached by thinking alone.

I came into Studio+ wanting to learn new AI tools. Through testing new capabilities, building quick prototypes, and sharing work early, I learned to use experimentation as part of my design process. Building quickly gave me something tangible to test, share, and improve, often leading to ideas I wouldn’t have reached by thinking alone.

Key Takeaways

Follow my curiosity

Experiment with emerging AI tools to understand what they could make possible for design

Go beyond static screens

Beyond static screens

Using AI and prototyping tools to rapidly iterate and make interactions feel tangible

Learn in public

Put unfinished ideas in front of others while there's plenty of room to question and reshape them

How I Use AI

AI to complete defined tasks:

Prompt intentionally to generate useful outputs

Actively identify repetitive tasks AI can automate

Use my own judgment to continuously evaluate and refine outputs

AI as a tool for experimentation:

Experiment with new capabilities and tools daily

Rapidly prototype multiple design directions with AI tools

Learn what's possible and what isn't by building

Want to see more?

Some details of this work are highly confidential. I’d be happy to share more about my process in conversation.

priyavenkatesan@berkeley.edu