Design
How Designers Can Use AI for Sharper Critiques
AI critique is useful when it evaluates against goals instead of taste. This guide helps product designers get to more specific design feedback.
AI tools are most useful when they are attached to a specific job. For product designers, the goal is not to add another shiny tool to the stack. The goal is to create a repeatable workflow that produces a better decision, draft, prototype, analysis, or handoff.
AI critique is useful when it evaluates against goals instead of taste.
In practice, that means using ChatGPT or Claude as part of a bounded process. Give the tool enough context to be useful, keep the output connected to real work, and make the human review step explicit.
The Workflow
Use this as a simple starting point. The exact details can change, but the sequence keeps the work focused.
State the user goal
Describe the screen context
Ask for usability risks
Decide what to ignore
What Good Looks Like
The output should make the next step easier. If the workflow ends with more ambiguity, more tabs, or a longer list of unresolved ideas, it is not doing its job.
A strong result gives you more specific design feedback. It should also leave a trail: what information went in, what assumptions were made, and what still needs human judgment.
Common Mistakes
Accepting generic visual advice
Skipping real user feedback
Bottom line
Keep the human edit in the loop.
Start small, make the workflow observable, and keep responsibility with the person doing the work. AI should reduce friction, but it should not remove taste, judgment, or accountability.
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