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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

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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53:09

145 - Data Product Success: Adopting a...

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

2024/06/11

Wait, I’m talking to a head of data management at a tech company? Why!? Well, today I'm joined by Malcolm Hawker to get his perspective around data products and what he’s seeing out in the wild as Head of Data Management at Profisee. Why Malcolm? Malcolm was a former head of product in prior roles, and for several years, I’ve enjoyed Malcolm’s musings on LinkedIn about the value of a product-oriented approach to ML and analytics. We had a chance to meet at CDOIQ in 2023 as well and he went on my

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52:38

144 - The Data Product Debate: Essential Tech or...

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

2024/05/28

Welcome to another curated, Promoted Episode of Experiencing Data! In episode 144, Shashank Garg, Co-Founder and CEO of Infocepts, joins me to explore whether all this discussion of data products out on the web actually has substance and is worth the perceived extra effort. Do we always need to take a product approach for ML and analytics initiatives? Shashank dives into how Infocepts approaches the creation of data solutions that are designed to be actionable within specific business workflows—and

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50:01

143 - The (5) Top Reasons AI/ML and Analytics SAAS...

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

2024/05/14

Welcome back! In today's solo episode, I share the top five struggles that enterprise SAAS leaders have in the analytics/insight/decision support space that most frequently leads them to think they have a UI/UX design problem that has to be addressed. A lot of today's episode will talk about "slow creep," unaddressed design problems that gradually build up over time and begin to impact both UX and your revenue negatively. I will also share 20 UI and UX design problems I often see (even if clients do

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50:56

142 - Live Webinar Recording: My UI/UX Design Audit...

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

2024/04/30

Welcome to a special edition of Experiencing Data. This episode is the audio capture from a live Crowdcast video webinar I gave on April 26th, 2024 where I conducted a mini UI/UX design audit of a new podcast analytics service that Chris Hill, CEO of Humblepod, is working on to help podcast hosts grow their show. Humblepod is also the team-behind-the-scenes of Experiencing Data, and Chris had asked me to take a look at his new “Listener Lifecycle” tool to see if we could find ways to improve the UX

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144 results

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