Experiencing Data w/ Brian T. O’Neill

Experiencing Data w/ Brian T. O’Neill

Author: Brian T. O’Neill from Designing for Analytics Language: English Episodes: 100
For enterprise data and product leaders, the real challenge often isn't building the technology-it's getting people to actually use it. Experiencing Data w/ Brian T. O’Neill digs into that persistent gap between creating powerful ML, AI, and analytical tools and seeing them drive genuine business value and informed decisions. Host Brian T. O’Neill, from Designing for Analytics, moves past pure technical discussion to explore how design, product thinking, and strategic management can bridge that divide. This podcast lives at the intersection of data and human experience, making it essential for anyone who has ever wondered why a technically sound data product failed to gain user adoption or secure stakeholder buy-in. Across conversations with practitioners and through Brian’s own analysis, episodes unpack what a "data product" approach truly means in practice. You’ll hear concrete strategies for designing analytics that people want to use, framing data work in terms of business outcomes, and leading teams to create not just outputs, but impactful solutions. It’s a resource for rethinking how data work connects to the arts of communication, design, and leadership, all to ensure that data investments lead to tangible results. Tune in for a pragmatic, human-centered perspective that is often missing from the tech conversation.
Episodes
189 - The Invisible Intelligence Gap [not-audio_url] [/not-audio_url]

Duration: 25:26
I’ve worked with a lot of teams building analytics and insights products and decision-support systems. The pattern I keep seeing isn’t that the math is wrong or the ML / AI models are weak. Much of the time, the technolo…
186 - Why Powerful AI & Analytics Products Feel Useless to Buyers [not-audio_url] [/not-audio_url]

Duration: 38:10
I’m back! After about 7 years (or more) of bi-weekly publishing, I gave myself a break (to have the flu, in part), but now it’s back to business! In 2026, I’ll be focusing the podcast more on the commercial side of data…