UX Analysis Pro: Revolutionizing Design Audits with AI-Powered Insights - @ Google AiStudio

Project Overview

UX Analysis Pro is an innovative application designed to streamline and enhance the design audit process. By leveraging AI, it analyzes and compares an existing website or app design with a new prototype, providing in-depth insights on user behavior, sentiment, and accessibility. The platform applies core UX laws to offer a comprehensive, data-driven report that guides designers toward significant improvements.

My Role: UX Designer, AI Solutions Designer, Product Manager

1. The Problem: The Manual Design Audit Bottleneck

Traditional UX design audits are often a time-consuming, manual process. Designers and researchers must painstakingly go through every screen, making subjective observations on user flow, identifying accessibility issues, and applying UX principles. This process is prone to human error, can be inconsistent, and often lacks objective, quantitative data to back up its findings. The core problem was to create a tool that could automate this tedious work, providing a fast, consistent, and data-backed analysis for comprehensive design improvement.

2. The Solution: An AI-Powered Design Companion

The solution was to build an intelligent platform that acts as an expert UX consultant. The application's key features and workflow include:

• Design Upload & Analysis: Users can upload a live website URL or a prototype image. The AI then "scans" the design, analyzing its layout, components, and text.

• AI-Driven Insights: The system provides AI-generated insights on user behavior, predicting where users might get confused or frustrated. It also performs sentiment analysis to gauge the emotional tone of the content.

• Accessibility & UX Law Compliance: The tool automatically checks for common accessibility issues (e.g., color contrast, font size) and applies relevant UX laws (like Fitts's Law or the Gestalt Principles) to identify areas for optimization.

• Comparison Mode: The most powerful feature is the ability to compare an "old" design with a "new" prototype, providing a side-by-side analysis of how the changes have impacted key metrics.

This platform transforms a manual, subjective process into an automated, data-driven audit, providing clear recommendations for improvement.

3. My Design Process: Building a Trustworthy Tool for Designers

My design process was centered on a critical question: How can I build a tool that designers will trust to provide accurate and valuable feedback?

• User Research: I conducted interviews with UX designers, product managers, and developers. A key insight was that while they were excited about AI, they were also skeptical. They needed a system that wasn't a "black box" but one that explained its reasoning. This led to the decision to show not just a score, but the specific UX law or accessibility guideline that was being applied.

• Information Architecture: The UI was structured to be intuitive and logical. A clear, side-by-side comparison layout was chosen to facilitate the core task of comparing two designs. The analysis results are presented in a modular, card-based format, making it easy to quickly scan the report and drill down into specific details.

• Prototyping & Visual Design: I prototyped a clean, professional UI with a minimalist aesthetic. The use of a simple color palette and clear typography ensures readability. The design prioritizes the analysis reports, using visual aids like color-coded indicators to highlight "positive" and "negative" findings. The final product is a professional-grade tool that feels both powerful and approachable.

4. The Final Product: A Catalyst for Design Excellence

The final product is a highly functional and intuitive application that serves as a valuable assistant to any design team. It's a testament to the idea that AI should not replace human expertise, but rather augment it. By automating the tedious parts of the design audit, it frees up designers to focus on creative problem-solving and strategic thinking. The design prioritizes transparency and clarity, ensuring that every AI-driven insight is understandable and actionable.

Key Learnings & Outcomes:

• Transparency Builds Trust: By clearly explaining the "why" behind an AI's recommendation (e.g., "This button violates Fitts's Law"), the tool empowers the user and builds confidence.

• Targeted AI for Specific Problems: The AI is not a general-purpose tool; it is specifically trained to analyze designs and apply UX principles. This focus on a niche problem makes the output highly relevant and valuable.

• UX for the UX Professional: The application's design is a reflection of the principles it analyzes, providing a clean, efficient, and delightful user experience for its target audience.