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.