Pros and Cons of AI for Market & UX Research

Post #1 of the AI for Market and UX Research Series

Hey Friends! Welcome to the first post in my upcoming series about AI for market and user experience (UX) researchers. Over the course of this series, I’ll be exploring the various ways we can incorporate AI into our work. To make this a bit more fun, and because I’m a horrendous writer, I’m going to use a different AI writing tool for each post. This one has been written with the help of Moonbeam.

AI can be a valuable tool for researchers — it can help with anything from building a research brief, designing a discussion guide, analyzing data, etc. While AI will not replace the need for researchers anytime soon (if ever), it can greatly improve our workdays and free us up to focus on more exciting or valuable initiatives. But like anything else, we must be aware of its limitations and downsides. The goal of this article is to outline some of the strengths and limitations of AI as it relates to research. Please give it a read below and let me know your thoughts!

Pros of AI for Market and UX Research

Since all businesses care about costs, we’ll start with one of the key advantages: AI can provide cost-effective solutions for market research (MR) and UX research (UXR). There was a large movement years ago to outsource the more manual parts of research to other parts of the world with cheaper labor. I remember the first time I did this — Someone halfway…