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PODCAST

Experiencing Data w/ Brian T. O’Neill (AI & data product management leadership—powered by UX design)

Brian T. O’Neill from Designing for Analytics

Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?If you lead an internal enterprise data team, have you heard that a ”data product”

technology management

All Episodes

50:09

181- Lessons Learned Designing Orion, Gravity’s AI,...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/10/28

On today's Promoted Episode of Experiencing Data, I’m talking with Lucas Thelosen, CEO of Gravity and creator of Orion, an AI analyst transforming how data teams work. Lucas was head of PS for Looker, and eventually became Head of Product for Google’s Data and AI Cloud prior to starting his own data product company. We dig into how his team built Orion, the challenge of keeping AI accurate and trustworthy when doing analytical work, and how they’re thinking about the balance of human control with

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45:25

180- From Data Professional to Data Product Manager:...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/10/14

In this episode, I’m exploring the mindset shift data professionals need to make when moving into analytics and AI data product management. From how to ask the right questions to designing for meaningful adoption, I share four key ways to think more like a product manager, and less like a deliverables machine, so your data products earn applause instead of a shoulder shrug. Highlights/ Skip to: Why shift to analytics and AI data product management (00:34) From accuracy to impact and redefining

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51:01

179 - Foundational UX principles for data and AI...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/09/30

Content coming soon.

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50:10

178 - Designing Human-Friendly AI Tech in a World...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/09/16

In this episode, I sat down with tech humanist Kate O’Neill to explore how organizations can balance human-centered design in a time when everyone is racing to find ways to leverage AI in their businesses. Kate introduced her “Now–Next Continuum,” a framework that distinguishes digital transformation (catching up) from true innovation (looking ahead). We dug into real-world challenges and tensions of moving fast vs. creating impact with AI, how ethics fits into decision making, and the role of data

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49:20

177 - Designing Effective Commercial AI Data Products...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/09/03

In this episode, I talk with Ilya Preston, co-founder and CEO of PAXAFE, a logistics orchestration and decision intelligence platform for temperature-controlled supply chains (aka “cold chain”). Ilya explains how PAXAFE helps companies shipping sensitive products, like pharmaceuticals, vaccines, food, and produce, by delivering end-to-end visibility and actionable insights powered by analytics and AI that reduce product loss, improve efficiency, and support smarter real-time decisions.Ilya shares

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29:52

176 - (Part 2) The MIRRR UX Framework for Designing...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/08/19

This is part two of the framework; if you missed part one, head to episode 175 and start there so you're all caught up. In this episode of Experiencing Data, I continue my deep dive into the MIRRR UX Framework for designing trustworthy agentic AI applications. Building on Part 1’s “Monitor” and “Interrupt,” I unpack the three R’s: Redirect, Rerun, and Rollback—and share practical strategies for data product managers and leaders tasked with creating AI systems people will actually trust and use. I

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28:51

175 - The MIRRR UX Framework for Designing...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/08/06

In this episode of Experiencing Data, I introduce part 1 of my new MIRRR UX framework for designing trustworthy agentic AI applications—you know, the kind that might actually get used and have the opportunity to create the desired business value everyone seeks! One of the biggest challenges with both traditional analytics, ML, and now, LLM-driven AI agents, is getting end users and stakeholders to trust and utilize these data products—especially if we’re asking humans in the loop to make changes to

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47:50

Why AI Adoption Moves at the Speed of User Trust...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/07/23

In this episode of Experiencing Data, I chat with Irina Malkova who is the VP of AI Engineering and VP of Data and Analytics for Tech and Product at Salesforce. Irina shares how her teams are reinventing internal analytics, combining classic product data work with cutting-edge AI engineering—and her recent post on LinkedIn titled “AI adoption moves at the speed of user trust,” having a strong design-centered perspective, inspires today’s episode. (I even quoted her on this in a couple recent product

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43:49

173 - Pendo’s CEO on Monetizing an Analytics SAAS...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/07/08

Todd Olson joins me to talk about making analytics worth paying for and relevant in the age of AI. The CEO of Pendo, an analytics SAAS company, Todd shares how the company evolved to support a wider audience by simplifying dashboards, removing user roadblocks, and leveraging AI to both generate and explain insights. We also talked about the roles of product management at Pendo. Todd views AI product management as a natural evolution for adaptable teams and explains how he thinks about hiring product

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44:24

172 - Building AI Assistants, Not Autopilots: What...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/06/24

Show notes will be available soon.

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50:04

Who Can Succeed in a Data or AI Product Management Role?

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/06/10

Today, I’m responding to a listener's question about what it takes to succeed as a data or AI product manager, especially if you’re coming from roles like design/BI/data visualization, data science/engineering, or traditional software product management. This reader correctly observed that most of my content “seems more targeted at senior leadership” — and had asked if I could address this more IC-oriented topic on the show. I’ll break down why technical chops alone aren’t enough, and how

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42:33

170 - Turning Data into Impactful AI Products at...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/05/27

Today, I'm chatting with Shri Santhanam, the EVP of Software Platforms and Chief AI Officer of Experian North America. Over the course of this promoted episode, you’re going to hear us talk about what it takes to build useful consumer and B2B AI products. Shri explains how Experian structures their AI product teams, the company’s approach prioritizing its initiatives, and what it takes to get their AI solutions out the door. We also get into the nuances of building trust with probabilistic AI tools

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01:01:05

169 - AI Product Management and UX: What’s New (If...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/05/13

Today, I'm chatting with Stuart Winter-Tear about AI product management. We're getting into the nitty-gritty of what it takes to build and launch LLM-powered products for the commercial market that actually produce value. Among other things in this rich conversation, Stuart surprised me with the level of importance he believes UX has in making LLM-powered products successful, even for technical audiences.After spending significant time on the forefront of AI’s breakthroughs, Stuart believes

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38:24

168 - 10 Challenges Internal Data Teams May Face...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/04/29

Today, I am going to share some of the biggest challenges internal enterprise data leaders may face when creating their first revenue-generating data product. If your team is thinking about directly monetizing a data product and bringing a piece of software to life as something customers actually pay for, this episode is for you. As a companion to this episode, you can read my original article on this topic here once you finish listening!

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37:34

167 - AI Product Management and Design: How Natalia...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/04/16

Today, I’m talking with Natalia Andreyeva from Infor about AI / ML product management and its application to supply chain software. Natalia is a Senior Director of Product Management for the Nexus AI / ML Solution Portfolio, and she walks us through what is new, and what is not, about designing AI capabilities in B2B software. We also got into why user experience is so critical in data-driven products, and the role of design in ensuring AI produces value. During our chat, Natalia hit on the

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26:12

166 - Can UX Quality Metrics Increase Your Data...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/04/01

Today I am going to try to answer a fundamental question: how should you actually measure user experience, especially with data products—and tie this to business value? It's easy to get lost in analytics and think we're seeing the whole picture, but I argue that this is far from the truth. Product leaders need to understand the subjective experience of our users—and unfortunately, analytics does not tell us this.The map is not the territory. In this episode, I discuss why qualitative data and

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49:04

165 - How to Accommodate Multiple User Types and...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/03/18

A challenge I frequently hear about from subscribers to my insights mailing list is how to design B2B data products for multiple user types with differing needs. From dashboards to custom apps and commercial analytics / AI products, data product teams often struggle to create a single solution that meets the diverse needs of technical and business users in B2B settings. If you're encountering this issue, you're not alone!In this episode, I share my advice for tackling this challenge including

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45:25

164 - The Hidden UX Taxes that AI and LLM Features...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/03/04

Are you prepared for the hidden UX taxes that AI and LLM features might be imposing on your B2B customers—without your knowledge? Are you certain that your AI product or features are truly delivering value, or are there unseen taxes that are working against your users and your product / business? In this episode, I’m delving into some of UX challenges that I think need to be addressed when implementing LLM and AI features into B2B products.While AI seems to offer the change for significantly

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41:41

163 - It’s Not a Math Problem: How to Quantify the...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/02/18

I keep hearing data product, data strategy, and UX teams often struggle to quantify the value of their work. Whether it’s as a team as a whole or on a specific data product initiative, the underlying problem is the same – your contribution is indirect, so it’s harder to measure. Even worse, your stakeholders want to know if your work is creating an impact and value, but because you can’t easily put numbers on it, valuation spirals into a messy problem.The messy part of this valuation problem is

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42:07

162 - Beyond UI: Designing User Experiences for LLM...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2025/02/04

I’m doing things a bit differently for this episode of Experiencing Data. For the first time on the show, I’m hosting a panel discussion. I’m joined by Thomson Reuters’s Simon Landry, Sumo Logic’s Greg Nudelman, and Google’s Paz Perez to chat about how we design user experiences that improve people’s lives and create business impact when we expose LLM capabilities to our users. With the rise of AI, there are a lot of opportunities for innovation, but there are also many challenges—and frankly, my

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144 results

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