AI-driven design

Problem: My team of designers were new to AI and needed guidance on how it to use it to speed up their design process and help them create innovative customer solutions.

Solution: I led my design team's adoption of AI by setting quarterly goals so they could gradually increase their AI usage across several tools: LLMs (Gemini, NotebookLM), Cursor, and Figma AI.

Outcome: Under my leadership, my team of designers adopted AI-driven design practices, reaching the following metrics:

- 100% of my direct reports completed every AI quarterly goal.
- 100% of my direct reports used Gemini and NotebookLM on a daily basis.
- 60% of my direct reports used AI for every initial design they created.

Clarity:

Gradual goals

I gave my designers a specific, documented AI goal to work towards every quarter:

- Goal 1, LLM automation: Use an LLM to automate at least 1 task.

- Goal 2, AI-driven operations: Use AI in everyday work, at least once a week.

- Goal 3, AI-enabled rapid prototyping: Generate at least 1 prototype with AI.

Collaboration:

Team culture

I positioned designers who developed a strong grasp on AI as mentors to help others upskill.
I identified opportunities for designers to present their AI work to the wider UX Design department, gaining visibility for their accomplishments across 130+ UX researchers, designers, and developers.

Leadership:

AI usage

I collaborated with UX Design and Web Design departments to release Red Hat’s AI principles and policies on Red Hat's PatternFly design system.

I adopted Gemini and NotebookLM into my everyday work to automate tasks.

I used Cursor to generate a prototype based on Red Hat’s PatternFly design system.