Design

Spotting communication gaps and weak signals in design

Use AI-assisted analysis to surface issues and patterns that a purely manual review might miss, improving clarity and effectiveness of the final design/message.

Why the human is still essential here

Human taste, empathy, and accountability are required to interpret findings and translate them into the right narrative and design decisions.

How people use this

AI theme detection in open-ended feedback

Automatically cluster and summarize survey responses to spot recurring confusion, unmet expectations, and language that users misinterpret.

Hotjar AI

Interview transcript coding for misunderstandings

Use AI-assisted transcription and thematic coding to surface repeated moments where users misread labels, flows, or promises in the experience.

Dovetail

Prototype test drop-off and clarity diagnosis

Run an unmoderated prototype test and use AI-generated reporting to pinpoint where users fail tasks and which copy/UI cues caused the breakdown.

Maze

Community stories (1)

How I use AI to make my design work better (not cheaper)

I use AI in my design process, and no, it doesn't make my work cheaper. It makes it better. I don't use AI to replace thinking; I use it to do more of it. When a client comes to me, I want to quickly understand who they're trying to reach and what that person needs to feel in the first 8 seconds. AI helps me get there faster by testing language, mapping communication patterns, and analyzing what works in their market. But the strategy, story, and the decisions about what to say/show/hide are still mine. AI lets me spend less time on mechanics and more time on meaning, so clients get sharper work in less time, and I can catch things a purely manual process would miss.

Esther AkinyemiProduct Designer (Freelance)

Feb 23, 2026