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PODCAST

Experiencing Data w/ Brian T. O’Neill

Brian T. O’Neill from Designing for Analytics

Does the value of your insights, analytics, or automated intelligence product sometimes feel invisible to buyers and users? Does your product have impressive analytics and AI technology, but user adoption and sales still are not where you want them to be? While it has never been easier to build data-driven products, why does it still seem so hard to build indispensable data products that users can"t live without—and will gladly pay for? I’m Brian T. O’Neill, and on Experiencing Data — a Listen Notes

technology management

All Episodes

44:24

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

Experiencing Data w/ Brian T. O’Neill ·

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 ·

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 ·

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 ·

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 ·

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 ·

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 ·

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 ·

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 ·

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 ·

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 ·

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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34:00

161 - Designing and Selling Enterprise AI Products...

Experiencing Data w/ Brian T. O’Neill ·

2025/01/21

With GenAI and LLMs comes great potential to delight and damage customer relationships—both during the sale, and in the UI/UX. However, are B2B AI product teams actually producing real outcomes, on the business side and the UX side, such that customers find these products easy to buy, trustworthy and indispensable? What is changing with customer problems as a result of LLM and GenAI technologies becoming more readily available to implement into B2B software? Anything? Is your current product or

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42:10

160 - Leading Product Through a Merger/Acquisition:...

Experiencing Data w/ Brian T. O’Neill ·

2025/01/07

Today, I’m chatting with Adam Berke, the Chief Product Officer at The Predictive Index. For 70 years, The Predictive Index has helped customers hire the right employees, and after the merger with Charma, their products now nurture the employee/manager relationship. This is something right up Adam’s alley, as he previously helped co-found the employee and workflow performance management software company Charma before both aforementioned organizations merged back in 2023.You’ll hear Adam talk about

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40:47

159 - Uncorking Customer Insights: How Data Products...

Experiencing Data w/ Brian T. O’Neill ·

2024/12/24

Today, I’m talking to Andy Sutton, GM of Data and AI at Endeavour Group, Australia's largest liquor and hospitality company. In this episode, Andy—who is also a member of the Data Product Leadership Community (DPLC)—shares his journey from traditional, functional analytics to a product-led approach that drives their mission to leverage data and personalization to build the “Spotify for wines.” This shift has greatly transformed how Endeavour’s digital and data teams work together, and Andy explains

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43:41

158 - From Resistance to Reliance: Designing Data...

Experiencing Data w/ Brian T. O’Neill ·

2024/12/10

After getting started in construction management, Anna Jacobson traded in the hard hat for the world of data products and operations at a VC company. Anna, who has a structural engineering undergrad and a masters in data science, is also a Founding Member of the Data Product Leadership Community (DPLC). However, her work with data products is more “accidental” and is just part of her responsibility at Operator Collective. Nonetheless, Anna had a lot to share about building data products, dashboards,

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34:58

157 - How this materials science SAAS company brings...

Experiencing Data w/ Brian T. O’Neill ·

2024/11/26

R&D for materials-based products can be expensive, because improving a product’s materials takes a lot of experimentation that historically has been slow to execute. In traditional labs, you might change one variable, re-run your experiment, and see if the data shows improvements in your desired attributes (e.g. strength, shininess, texture/feel, power retention, temperature, stability, etc.). However, today, there is a way to leverage machine learning and AI to reduce the number of experiments

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41:37

156-The Challenges of Bringing UX Design and Data...

Experiencing Data w/ Brian T. O’Neill ·

2024/11/14

Jeremy Forman joins us to open up about the hurdles– and successes that come with building data products for pharmaceutical companies. Although he’s new to Pfizer, Jeremy has years of experience leading data teams at organizations like Seagen and the Bill and Melinda Gates Foundation. He currently serves in a more specialized role in Pfizer’s R&D department, building AI and analytical data products for scientists and researchers. .Jeremy gave us a good luck at his team makeup, and in

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55:33

155 - Understanding Human Engagement Risk When...

Experiencing Data w/ Brian T. O’Neill ·

2024/10/29

The relationship between AI and ethics is both developing and delicate. On one hand, the GenAI advancements to date are impressive. On the other, extreme care needs to be taken as this tech continues to quickly become more commonplace in our lives. In today’s episode, Ovetta Sampson and I examine the crossroads ahead for designing AI and GenAI user experiences.While professionals and the general public are eager to embrace new products, recent breakthroughs, etc.; we still need to have some

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44:47

154 - 10 Things Founders of B2B SAAS Analytics and AI...

Experiencing Data w/ Brian T. O’Neill ·

2024/10/15

Sometimes DIY UI/UX design only gets you so far—and you know it’s time for outside help. One thing prospects from SAAS analytics and data-related product companies often ask me is how things are like in the other guy/gal’s backyard. They want to compare their situation to others like them. So, today, I want to share some of the common “themes” I see that usually are the root causes of what leads to a phone call with me. By the time I am on the phone with most prospects who already have a

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57:31

153 - What Impressed Me About How John Felushko Does...

Experiencing Data w/ Brian T. O’Neill ·

2024/10/01

In today’s episode, I’m joined by John Felushko, a product manager at LabStats who impressed me after we recently had a 1x1 call together. John and his team have developed a successful product that helps universities track and optimize their software and hardware usage so schools make smart investments. However, John also shares how culture and value are very tied together—and why their product isn’t a fit for every school, and every country. John shares how important customer relationships are ,

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155 results

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