AI is reshaping UX research by handling the repetitive work. It can summarize, organize, and spark ideas… but researchers bring judgment, context, and direction. The real value is freeing teams to think deeper and decide better, not just move faster.
Here’s a short step-by-step approach she shares:
1. Feed
Gather your research inputs: discussion guides, transcripts, screenshots, and links. These give the AI the context it needs.
2. Instruct
Write clear prompts or instructions. This tells the AI what to look for and how to process the material. She uses a Prompt Deck to get to the right research.
3. Harvest
Run the inputs through AI models. You can choose standard models for quick outputs or deeper analysis for richer insights.
Here are some other great featured posts on user research:
Make AI design research a usable process.
Figure out the right research effort for each project.
Good research builds confident decisions.
Research should inspire design. Not just report findings.
Make user research a regular part of product development.
Metrics show what, research explains why. Both guide better design.
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Further Reading: