#160 AI Customer Research: Why Designers Should Learn Claude Code with Caitlin Sullivan

I think the time aspect is kind of the easy one to point out.

The one that's almost as much, maybe just as much of an impact for me is the ability to do a more complete job than I think I was able to do before I was using AI, because I've worked for a long time as kind of a solo operator.

As a...

I was a head of user research in a SaaS company before I kind of went freelance.

Even there, I was very often kind of like working on a project on my own because we had a limited-

Mm-hmm

... number of people in, working in the team doing insights.

And so, you know, and then as a consultant, I would be brought in to lead a project, support a team with training, but also take on some new kind of figuring out who the actual ICP was and projects like that.

Working on your own has so many limitations.

You still have the same sort of tight deadlines, especially in startups and scale-ups, and you have to do so much in so little time that most of the time isn't really possible.

And so now with AI, I think in a funny way, I'm cutting fewer corners [chuckles] because I'm-

Mm-hmm

... actually able to get AI to fill in all that I would've deprioritized because I would've said, "Oh, I need to deliver this by tomorrow.

I don't have time." And now I can say, "AI can pick up the slack." I can actually be more complete in what I'm delivering because I, I don't have to base this only on what I can do.

Uh-huh.

I think, um, super cool examples, right? To see the, the opportunities that AI brings and makes your work even, even better.