"A recent UX audit for a new client forced me to rethink how AI-generated designs fit into the way we explain and justify design decisions. A comprehensive UX audit of all the app was the first thing I needed to do - to identify friction and suggest improvements. After reviewing the app and particular features, I had a list of flaws and possible improvements."
"And I had an idea - what if I screenshot the app and send it to Figma make with instructions, based on my findings. The result truly impressed me and, naturally, I became excited to show it to my client. But then I thought "Hold on... Should UX designers show AI-generated ideas to clients?" Well, actually - we should not, at least not directly and not on early stages."
A comprehensive UX audit identified friction and suggested improvements across the app. Screenshots of the app were used as inputs to Figma with instructions to generate AI-based screens reflecting suggested changes. The AI-generated results were impressive but raised concerns about presenting AI-crafted concepts directly to clients, especially in early stages. AI was recognized as highly useful for speed, exploration, and articulating solutions, yet the mode of presentation matters more than generation method during client reviews. The recommended approach is to use AI behind the scenes to explore alternative flows, challenge assumptions, and think through edge cases before presenting polished, human-framed solutions.
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