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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

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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34:00

161 - Designing and Selling Enterprise AI Products...

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

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 (AI & data... ·

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 (AI & data... ·

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 (AI & data... ·

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 (AI & data... ·

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 (AI & data... ·

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 (AI & data... ·

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 (AI & data... ·

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 (AI & data... ·

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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53:00

152 - 10 Reasons Not to Get Professional UX Design...

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

2024/09/17

In today’s episode, I’m going to perhaps work myself out of some consulting engagements, but hey, that’s ok! True consulting is about service—not PPT decks with strategies and tiers of people attached to rate cards. Specifically today, I decided to reframe a topic and approach it from the opposite/negative side. So, instead of telling you when the right time is to get UX design help for your enterprise SAAS analytics or AI product(s), today I’m going to tell you when you should NOT get

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49:57

151 - Monetizing SAAS Analytics and The Challenges of...

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

2024/09/03

Due to a technical glitch that ended up unpublishing this episode right after it originally was released, Episode 151 is a replay of my conversation with Zalak Trivdei from this past March . Please enjoy our chat if you missed it the first time around!Thanks, Brian Links Original Episode: https://designingforanalytics.com/resources/episodes/139-monetizing-saas-analytics-and-the-challenges-of-designing-a-successful-embedded-bi-product-promoted-episode/ Sigma Computing:

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52:22

How Specialized LLMs Can Help Enterprises Deliver...

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

2024/08/20

“Last week was a great year in GenAI,” jokes Mark Ramsey—and it’s a great philosophy to have as LLM tools especially continue to evolve at such a rapid rate. This week, you’ll get to hear my fun and insightful chat with Mark from Ramsey International about the world of large language models (LLMs) and how we make useful UXs out of them in the enterprise. Mark shared some fascinating insights about using a company’s website information (data) as a place to pilot a LLM project, avoiding privacy

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50:18

What the Data Says About Why So Many Data Science and...

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

2024/08/06

Guess what? Data science and AI initiatives are still failing here in 2024—despite widespread awareness. Is that news? Candidly, you’ll hear me share with Evan Shellshear—author of the new book Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics—about how much I actually didn’t want to talk about this story originally on my podcast—because it’s not news! However, what is news is what the data says behind Evan’s findings—and guess what? It’s not the technology.In

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26:36

148 - UI/UX Design Considerations for LLMs in...

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

2024/07/23

Ready for more ideas about UX for AI and LLM applications in enterprise environments? In part 2 of my topic on UX considerations for LLMs, I explore how an LLM might be used for a fictitious use case at an insurance company—specifically, to help internal tools teams to get rapid access to primary qualitative user research. (Yes, it’s a little “meta”, and I’m also trying to nudge you with this hypothetical example—no secret!) ;-) My goal with these episodes is to share questions you might want to ask

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25:46

147 - UI/UX Design Considerations for LLMs in...

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

2024/07/10

Let’s talk about design for AI (which more and more, I’m agreeing means GenAI to those outside the data space). The hype around GenAI and LLMs—particularly as it relates to dropping these in as features into a software application or product—seems to me, at this time, to largely be driven by FOMO rather than real value. In this “part 1” episode, I look at the importance of solid user experience design and outcome-oriented thinking when deploying LLMs into enterprise products. Challenges with

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42:07

146 - (Rebroadcast) Beyond Data Science - Why...

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

2024/06/25

Ben Shneiderman is a leading figure in the field of human-computer interaction (HCI). Having founded one of the oldest HCI research centers in the country at the University of Maryland in 1983, Shneiderman has been intently studying the design of computer technology and its use by humans. Currently, Ben is a Distinguished University Professor in the Department of Computer Science at the University of Maryland and is working on a new book on human-centered artificial intelligence.I’m so excited

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