Producer's Note:
After eight incredible years of conversations, insights, and yes, a few awkward silences, we're bringing the Awkward Silences podcast to a close after episode 194 (scheduled for Oct. 27th featuring a roundtable discussion on synthetic users).
We're incredibly grateful to our guests, listeners and hosts who've been part of this journey.
But the conversations don't have to end. We invite you to check out Insights Unlocked, a podcast from Auros, where we explore the people, ideas, and innovations shaping the future of AI, research, digital products, and customer experiences.
Find Insights Unlocked wherever you listen to podcasts.
And from everyone at Awkward Silences, past and present, thank you for listening, learning, and getting curious with us.

Episode summary

In this episode of Awkward Silences, Auros' Lija Hogan chats with Sal Criscione, senior UX researcher and research leader, about how he's using AI to sharpen his quantitative research skills through hands-on practice, simulated research scenarios, and continuous learning.

Sal shares how he turned AI into an interactive practice tool that generates realistic UX research scenarios and datasets, challenges him to select appropriate statistical methods, and provides feedback on his analysis. By separating learning from practicing, he's developed a repeatable approach to building confidence in quantitative research while making the process engaging and fun.

The conversation also explores the risks of relying too heavily on AI, including hallucinations, inaccurate calculations, and its tendency to agree with users rather than challenge them. Sal explains why trusted source materials, independent verification, and critical thinking remain essential—and how teaching others can reveal gaps in your own understanding.

You'll learn:

• How to use AI to build quantitative UX research skills through hands-on practice
• Why separating learning from practicing helps develop deeper understanding
• How to create AI-generated research scenarios and datasets to practice statistical analysis
• Ways to recognize AI biases, challenge its responses, and verify results
• Why trusted sources and independent calculations are essential when learning with AI
• How teaching others can strengthen your expertise and expose knowledge gaps

Resources & links

• Sal Criscione on LinkedIn (https://www.linkedin.com/in/salvatore-criscione/)
• Lija Hogan on LinkedIn (https://www.linkedin.com/in/lija-hogan-894769/)
• Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/)
• Quantifying the User Experience (book discussed in the episode; https://www.amazon.com/dp/0128023082)
• Insights Unlocked podcast (https://www.usertesting.com/resources/podcast)
• Auros website (https://aurosglobal.com/)

Erin May talks with Jared Forney, Research Operations Principal at Okta, about how the role of research and research operations is shifting as AI accelerates product development. Jared explains why scale and rigor do not have to be opposing forces and why teams need to return to their core goals before adding new tools.

Jared dives into how he builds trust across legal, product, and design teams and why that trust becomes the capital you spend when driving big change. He shares why automating more work actually concentrates human attention rather than removing it, how he approaches knowledge management and orchestration across many data sources, and why written communication and technical skills now matter more than ever. Jared also answers audience questions on governance, getting buy in for research ops, working faster under compressed timelines, AI guard rails, and breaking into the field.

Highlights

• 02:13 Upskilling for scale and rigor
• 04:33 Balancing speed with research quality
• 14:50 Where humans fit in AI workflows
• 25:00 Rethinking knowledge management and MCP
• 32:00 Best tactic for getting governance buy-in
• 41:35 Enabling faster research under pressure

About Our Guest
Jared is a Research Operations Principal based in the San Francisco Bay Area with 8+ years building research infrastructure from the ground up. His work sits at the intersection of governance, tooling, and enablement: building systems that help research teams move faster while keeping data practices sound. He's led repository migrations, developed AI governance frameworks, consolidated tooling ecosystems, and spoken at industry conferences about how operations can amplify — not constrain — great research. Connect with Jared on LinkedIn!

Resources

• The Blueprint for Evaluating AI Across the Research Pipeline
• The State of Research Operation 2026
• State of Synthetic Users Report
• AI in Research Risk Cascade

This week we're revisiting one of Awkward Silences' most memorable episodes.

Much of the conversation around AI in UX involves how it will shape and change researchers' work. This episodes's guest, Jess Holbrook, who leads UX research for Microsoft AI, thinks a lot about how this technology can be improved with design and UX best practices. Jess has spent over a decade working on the UX of AI at companies like Meta and Google. He's also helped develop foundational principles for the ethical use of LLMs.

Jess joined Erin and Ben to reframe the AI conversation, focusing on how UXRs can and should adapt, what working on these systems has taught him about the UX discipline, and his philosophy for building teams that are ready to take on the innovative challenges of tomorrow.

Jess's recommendations: Matt Webb, Maggie Appleton, and the Pessimists Archive Newsletter.

Highlights

• 07:15 Human-Centered AI Evolution
• 17:53 Evolving AI Forecast Strategies
• 24:04 Diverse AI Team Building
• 33:27 Navigating Responsible AI Challenges
• 37:01 Qualitative Analysis with AI Tools
• 40:15 Optimism and Concerns About AI

About Jess
Senior Director of Research specializing in human-centered AI. Early stage investor in AI, AI hardware ecosystems, climate, and anything that seems like the world would be better with it in it. Currently leading UX research for Microsoft AI. Previously led the Generative AI team and supported all UX functions for the Responsible AI and data transparency teams at Meta. I also served on the Board of Forging Youth Resilience, a nonprofit that empowers young people to build physical and mental strength for life by providing access to a national network of community-based fitness programs and mentorship.

Resources

• The AI in UX Research Report
• 20+ Tools for Every Research Phase
• Using AI in UX: A Day-in-the-Life