In my AI + UXR workshop, I teach attendees to check the subprocessors of AI tools to understand what models they’re using under the hood. So it was delightful validation to see Simon Willison mention in a May 11 post that he’s started to do the same thing, and highlights the importance of sharing our learnings in public.
Read MoreI invited 31 researchers to test AI research synthesis by running the exact same prompt. They learned LLM analysis is overhyped, but evaluating it is something you can do yourself.
Read MoreAs more designers, PMs, founders, and researchers themselves begin to use generative AI tools for research synthesis, it has many researchers wondering whether it's good enough to replace their work. The short answer is it's a lot like using AI for anything else: AI output is "adequate."
Read MoreShould user researchers prepare to move into the role of “orchestrating and validating the work of AI systems” like OpenAI’s Deep Research?
Read MoreLast week I conducted in-person interviews with a high-risk participant pool. Normally I would have worn an N95 mask, but at least 1/3 of our participants also had moderate to severe hearing loss. So instead, I wore a transparent face mask to ensure we’d still be able to communicate. Here's what worked and what didn't.
Read MoreFriction is the #1 killer of research repositories. I recently spoke with insurance technology company Guidewire about strategies for keeping friction low and ensuring that research repositories provide enduring value for researchers and research consumers alike.
Read MoreLow-cost, “lean” prototypes are the most efficient way to test user satisfaction with innovative experiences. But many product teams either overengineer their prototypes or omit testing with users entirely until it’s too late. In this post, I share 5 thought starters for teams looking to think outside the box about simulating experiences for user testing.
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