Discover how AI is reshaping user research jobs. We analyzed 2,983 job postings to reveal trends in AI skills, role expectations, and hiring practices.
One of the most significant AI-driven changes I've noticed in UXR is that internal stakeholders are using LLMs to translate their objectives into specific research methods that they then request the UXR to run, rather than using the UXR's expertise to inform this decisions.
I'm dealing with UXRs landing at OpinionX for projects like conjoint analysis studies, so obviously I have a bit of a skewed view because of this, but the pattern is really clear and frequent -- traditionally-qual UXRs being pushed by internal stakeholders who use LLMs to correctly identify the type of research they need, which are often quant-heavy methods, and tasking the UXR to go run it.
One of the most significant AI-driven changes I've noticed in UXR is that internal stakeholders are using LLMs to translate their objectives into specific research methods that they then request the UXR to run, rather than using the UXR's expertise to inform this decisions.
I'm dealing with UXRs landing at OpinionX for projects like conjoint analysis studies, so obviously I have a bit of a skewed view because of this, but the pattern is really clear and frequent -- traditionally-qual UXRs being pushed by internal stakeholders who use LLMs to correctly identify the type of research they need, which are often quant-heavy methods, and tasking the UXR to go run it.