UX Design Evaluation Platform

Situation

UX design reviews across teams were manual, time-consuming and inconsistent, slowing down product development
Designers lacked an easy way to check their work against internal UX guidelines or quickly clarify design standards

Solution

Company-wide AI platform that automatically evaluates UX designs against internal guidelines
Figma plugin and web application that generates guideline-based test cases and validates designs for consistency and compliance
RAG-powered designer assistant that answers questions about both the active design and the company’s UX standards
Reduced manual review cycles while improving design quality and guideline adherence across teams

Tools

Python Azure OpenAI PostgreSQL Docker OpenShift Helm Figma API LLM RAG Prompt Engineering GenAI XAI

Many design teams rely on time-consuming manual checks to ensure that their work follows internal UX guidelines. I developed an AI-powered platform that automatically evaluates designs against these standards directly during the design process.

The solution combines an automated evaluation engine with a Figma plugin and a web interface. Designers can run guideline-based tests directly on their designs, allowing the system to identify inconsistencies, missing elements or potential usability issues early in the process. This reduces the need for repeated manual reviews and helps teams maintain consistent design standards across products.

To further support designers, I built an interactive AI assistant that can answer questions about both the current design file and the organization’s UX guidelines. By using a knowledge-based AI approach, the assistant provides contextual guidance and helps designers quickly understand how to apply internal standards in practice.

The result is a tool that integrates directly into designers’ workflows—helping teams work faster, maintain high design quality, and scale UX governance across the organization.