Using AI for UX Design Feedback: My Experience with ChatGPT Vision

When designing user interfaces, getting fresh perspectives can be invaluable. Recently, I experimented with using ChatGPT's Vision capabilities to analyze and provide feedback on a survey dashboard I've been developing. Below is a video documenting this interaction.

Why This Matters

Traditional UX testing requires scheduling sessions with users or colleagues, which can be time-consuming and sometimes difficult to arrange on short notice. While AI feedback certainly doesn't replace human testing, it provides an interesting supplementary perspective that's available 24/7.

In the video, you'll see ChatGPT:

• Identify potential UI redundancies (like duplicate actions or buttons on a page)

• Predict user flows and expectations

• Offer suggestions for navigation improvements

• Help locate common functionality (like password changes)

What I Discovered

What impressed me most was ChatGPT's ability to understand context and predict user expectations without explicit instruction. For example, it correctly identified that template options would be helpful for users creating surveys, and it understood conventional UI patterns for accessing account settings.

The interaction wasn't perfect - there were moments when the AI couldn't see the full screen or needed redirection - but overall, it provided valuable quick feedback that helped me identify potential issues before moving to human testing.

Try It Yourself

If you're working on UX/UI projects, consider experimenting with AI tools like ChatGPT Vision as part of your feedback loop. The combination of AI feedback for quick iterations and human testing for deeper insights could significantly improve your design process.

I'd love to hear your thoughts after watching the video. Have you used AI tools in your design process? What was your experience?