AI as Design Assistant
Revolutionizing the UX workflow with AI-powered insights—automating the tedious, enhancing creativity, and delivering pixel-perfect designs in record time.

Case Details
[My Role]
Lead Designer
[Platforms]
[Timeline]
End to End Design Process
Persona

Bella Chiu
Senior UX Designer
Age: 30
Gender: Female
Role
Creating wireframes, prototypes, and high-fidelity designs
Ensuring accessibility and usability standards are met
Managing design iterations based on feedback from peers and leaders
Frustrations
Time-consuming iterations: Making repetitive changes manually slows down workflows
Lack of smart recommendations: Figma lacks built-in AI assistance for design improvements
Inconsistent feedback loops: Hard to track design changes and integrate feedback effectively
Strategy and Approach
Conduct interviews with UX designers to understand common pain points in Figma.
Gather feedback from design teams on workflow bottlenecks.
Analyze how designers currently use AI-powered tools (if any) and identify gaps.
Brainstorm AI-driven solutions to automate repetitive design tasks.
Define key use cases for AI assistance in UI/UX design.
Sketch initial workflows on how the AI will integrate seamlessly into Figma.
Build a plugin that analyzes designs and provides intelligent suggestions.
Implement a feature that converts low-fidelity sketches into high-fidelity designs.
Introduce a design assistant that helps with accessibility checks and layout refinements.
Conduct usability testing with a group of designers to measure effectiveness.
Gather qualitative feedback on how AI-driven suggestions impact workflows.
Mapping user flow + AI Suggestions
Sketching out solutions
Applying AI-UX Concepts
Low-fidelity mockups and early testing