#191 - Throwback: UX Lessons from a Decade Researching AI with Jess Holbrook of Microsoft
Jess Holbrook, head of UX Research at Microsoft AI, reveals that the most dangerous trap in AI research isn't technical failure—it's drifting into '1% better' innovation that ignores human dignity. Drawing from a decade of pioneering work at Google, Meta, and now Microsoft, she argues that researchers must anchor their work in enduring human needs like identity, self-worth, and connection, not just novelty. Her team bans 'plan a trip' use cases—default scenarios that assume users already have disposable income—because they reflect a shallow understanding of real human struggles. Instead, she champions 'dignity-centered AI,' where tools extend human potential without erasing the meaning people derive from their work. The real breakthrough isn't in faster prototyping, but in using AI not to replace human insight, but to mentor researchers by helping them ask better questions—like a senior colleague would. She warns that the field has become too focused on hype and forecasting, when the most valuable work is still face-to-face conversations that uncover what people truly want to become, not just what they want to do. Holbrook’s team structure reflects this philosophy: embedding researchers early, mixing specialists with generalists, and hiring people with strong points of view—even if they don’t have AI experience. She emphasizes that the most powerful research tools aren’t AI assistants that analyze notes, but those that help researchers see beyond their own assumptions.
Ban 'plan a trip' use cases—default scenarios assume users already have disposable income and ignore real human struggles.
Prioritize 'dignity-centered AI' over 'user-centered AI' to preserve identity, worth, and meaning in work.
AI should mentor researchers by helping them ask better questions—not just analyze data faster.
Embed UX researchers early and avoid 'peanut buttering' them across multiple teams to maintain focus.
The most valuable research tools are those that help you see beyond your own assumptions, not just automate tasks.
…and 3 more takeaways available in PodZeus
The Myth of the 1% Better Product
“I'm in financial rut and I don't know how to get out. How do I do that? You know, trying to do these things that one of the things I've done in our group is I banned the planning the trip use case.”
From Psychology to AI: A Non-Linear Journey
Jess shares her unconventional path from social psychology to AI research, highlighting how mentorship, curiosity, and a willingness to 'zag' when others 'zig' led her to be one of the first UX researchers in AI.
The Dangers of AI Hype and Forecasting
“If I had guessed what would be relevant two to three years out, I would have been wildly wrong. And I don't think that's slowing down.”
Prototyping Is Trivial—But Don’t Drift
“But then with all that agility and with that ability to prototype, we can't drift because then we'll drift off into this space of novelty.”
The Three A's of AI: Augmentation, Assistance, Automation
“If you're automating something, do not automate away people's identity. Because there's a lot that people tie their identity, their dignity, their worth to in their work.”
“I'm in financial rut and I don't know how to get out. How do I do that? You know, trying to do these things that one of the things I've done in our group is I banned the planning the trip use case.”
“If you're automating something, do not automate away people's identity. Because there's a lot that people tie their identity, their dignity, their worth to in their work.”
“I want it to be the more senior researcher to me. That helps me break me out of my frame or break me out of the box that I can't see in the question I'm asking.”
Hosts
Guest
Jess Holbrook
person
Microsoft AI
organization
organization
Meta
organization
ChatGPT
product
User Interviews
organization
People Plus AI Research
organization
Outset.ai
product
Matt Webb
person
Maggie Appleton
person
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