How To Use AI to Increase Efficiency in Your User Research

Learn how to use AI to increase efficiency in your user research 🤖
Paul Boag dives into how AI tools have been a game-changer in his work, especially when it comes to analyzing user research.
In this week's CXL Feed, he unpacks how he uses AI to streamline the process of analyzing open-ended survey responses and user interviews, making it easier, faster, and more insightful.
Here are the key takeaways:
🔴 AI tools can help you understand and analyze user data more efficiently.
🔴 AI is particularly effective with qualitative data from open-ended survey questions and user interview transcripts.
🔴 AI tools can identify and rank common themes in open-ended responses. This helps to overcome the bias and limitations of multiple-choice surveys.
🔴 Tools like ChatGPT and Fathom can transcribe, analyze, and summarize user interviews, giving you deeper insights into pain points and other relevant themes without the manual work.
Want to learn how to adopt AI for more efficient and effective user research?
Watch the full video.
Timestamps:
0:33 The problem with user research
2:12 Don't fear open-ended question anymore!
6:46 How to review transcripts the right way
9:25 Next steps
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#ai
#cro
#uxdesign
#userresearch

[@marco-improta]

Thank you 🙏

[@BubbaSherlock]

Great! Very informative. I like how you wrote ‘please’ in your prompt to the AI tool. 😊

[@benjaminbargeman3196]

60748 Flatley Flat