AI-driven design

Leading UX designers to embrace AI in enterprise

software 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.

How I approached AI adoption:


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

  • Collaboration: I nurtured a culture of learning and camaraderie, positioning AI adoption as a team-wide initiative we could all support each other in achieving. 

  • Leadership: I held myself to the same standards set for the designers. I too completed each AI goal with them and adopted an AI-driven approach to my management role.


Clarity: AI goals

- 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:

AI 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 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.