BACK TO GUIDES

How to Use AI for User Research

A practical guide to using AI for user research, from planning studies and writing interview guides to synthesizing findings and generating research insights faster.

About this guide

Great research depends on real people, not generated answers. While AI cannot replace conversations with users, it can help researchers spend less time on administration and more time uncovering meaningful insights. From planning studies to analyzing findings, AI can support many of the activities that surround research without replacing the human perspective at its core.

This guide explores practical ways to use AI user research techniques throughout the research process. It covers user research planning, creating effective discussion guides, improving user interviews, accelerating research synthesis, and transforming observations into actionable insights. The goal is not to replace research participants, but to help teams learn faster and make better-informed decisions.

Download
Obsidian logo

This resource is a Markdown file. It opens in any text editor, but we recommend Obsidian for the best editing and visualization experience.

TRY KRELLIX FOR FREE

Get more done with your team of AI copilots

Solo or with a team, Krellix gives you the collaborators you need to move faster and ship better work.

Learn more

What is AI user research?

AI user research uses artificial intelligence to support research activities such as study planning, participant screening, interview preparation, research synthesis, and reporting. It helps researchers work more efficiently while still relying on real user feedback.

Can AI help with user interviews?

Yes. AI can help researchers prepare for user interviews, improve questioning techniques, identify emerging themes, and organize findings after sessions have been completed.

How can AI support research synthesis?

AI can accelerate research synthesis by grouping observations, identifying recurring themes, assisting with affinity mapping, and helping researchers turn raw notes into structured findings.

Can AI help create research reports?

Yes. AI can help structure a research report, summarize findings, organize evidence, and connect insights to recommendations while allowing researchers to validate conclusions themselves.