7 Steps to Run UX Research for AI Features

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When done right, AI-powered tooling can feel like magic. But building it needs proper groundwork, with meticulous research and design.

Consider this template as your guide on running UX research for building AI-powered features and products. It'll help you through every step of the process below, which include:

  • Identifying the real user problems and inefficiencies to solve

  • Understanding the current capabilities and limitations of AI

  • Determining which tasks should stay human-centric vs. automated

  • Building user trust and mental models around AI capabilities  

  • Practical tips like prompt engineering and considering technical constraints

This template is based on the Looppanel article “Building AI Features: A 7-Step Guide for UX Researchers”. Read it here for a deep dive into the 7 steps, and expert tips on running UXR for AI effectively! Made with ❤️ by the team at Looppanel.

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Looppanel is a user interview analysis & repository product. We help researchers at companies like Miro, PandaDoc and others get from user interviews to insights 5x faster.

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