Project links: Project landing page | Research Hub | LinkedIn
I'm kicking off something I'm calling 100 Days Exploring AI in UX Research, and this post is really just me opening the door and explaining what it is, why I'm doing it, and what you can expect if you stick around.
The short version
My mission is to build the most comprehensive independent resource on AI in UX Research, helping researchers and teams develop the skills, adopt the tools, and build the workflows needed for the future.
The core question I keep coming back to is this: how is AI actually transforming the practice of UX research, and what skills, tools, and workflows will define the next generation of researchers?
Why am I doing this?
If you spend any time in UX research forums or on LinkedIn lately, it's hard to escape the feeling that our field is shifting under our feet. New AI tools appear almost daily, job descriptions are evolving, and everyone seems to have a different opinion about what AI means for our profession.
I don't want to fall behind and at the same time, I'm genuinely excited about what's happening in UX research right now and, if I'm honest, a little overwhelmed and intimidated by it too. I don't think I'm alone in that. If you're a researcher reading this, I suspect some of that feeling is familiar.
So rather than trying to absorb all of that passively: another article here, another webinar there, I decided to turn it into a proper project. I'm running this as close as possible to a real UX research study: partly to keep my own research muscles in practice, and partly because I work far better with social accountability and real deadlines than with a vague personal goal.
Practising what I'm researching
The project itself is also an experiment.
I'll be using AI throughout the research wherever it genuinely helps: whether that's organising information, supporting the analysis or streamlining repetitive tasks and I will document exactly when and how I'm using it. This is to further my understanding of where AI genuinely adds value, where it falls short, and how we can use it responsibly.
What you can expect
Over the next 100 days I'll be exploring questions like:
Where does AI genuinely help across the UX research process?
How is it changing the role and skillset of researchers?
What does effective AI-enabled research actually look like?
I'll be combining analysing existing research with interviews, practical experiments and plenty of testing.
Rather than waiting until the end to publish a polished report, I'll be sharing the journey as it happens: the interesting findings, the useful workflows, the tools worth trying, and the ideas that don't stand up to scrutiny.
If you're interested in the full research methodology, objectives and study design, you'll find all of that in the Research Hub.
Why I'm sharing it publicly
I know a lot of researchers are overwhelmed by everything going on in the field right now, and others are just strapped for time or under-resourced. So there's a genuine reason for doing this publicly, I think it could be useful to people in that position.
And selfishly, I also want the conversation to go both ways. Some of the best insights are going to come from other researchers pointing out what I've missed, pushing back on my assumptions, or sharing what's actually working for them.
So if you've been experimenting with AI in your own research, or you're just curious where it's heading, come along for the ride… or feel free to reach out. I'll be interviewing practitioners later in the study, and there might be room to collaborate too.
Here's to the next 100 days!
Project links: Project landing page | Research Hub | LinkedIn