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Experiencing Data w/ Brian T. O’Neill

Brian T. O’Neill from Designing for Analytics
User Experience
Data Products
Product Management
User Experience Design
Artificial Intelligence
AI Products
Data Product Management
B2B Analytics
Large Language Models
Generative AI
Data Strategy
AI Product Management
Customer Needs
User Adoption
Analytics
Machine Learning
Data Analytics
User Research
AI
Business Intelligence

Your B2B analytics product does the hard technical work. So why aren't sales and adoption keeping up?

I'm Brian T. O'Neill, and my podcast, Experiencing Data, is a Listen Notes top 2% global podcast for founders, CEOs, and product leaders at B2B analytics companies: the ones whose product should be winning deals on technical sophistication alone, but isn't.

Maybe competitors have caught up on fe... more

PublishesTwice monthlyEpisodes206Founded8 years ago
Number of ListenersCategories
ManagementBusinessEntrepreneurship

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Artwork for Experiencing Data

Latest Episodes

Yoni Leitersdorf's company, Solid, sells a semantic layer: the plumbing that helps AI agents understand an enterprise's data well enough to do effective, valuable work that passes a customer's evals. As platform software, this is about as invisible a... more

Logan Havern's company, Datalogz, sits on top of an enterprise's BI platforms (Power BI, Tableau, Qlik, Databricks Genie, and the SharePoint spreadsheets nobody admits to) and finds the duplicated, conflicting, and unused reports that AI is now gener... more

What happens when your product team suddenly moves six times faster at delivering features, but your sales and business traction is unchanged? AI, and particularly AI for coding, has made it easier than ever to ship features, but faster development d... more

What makes an analytics or intelligence product indispensable when technical sophistication alone isn’t enough to drive adoption, renewals, or sales? Why do POCs stall, why does adoption stay flat, and why aren’t prospects nearly as excited about you... more

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Recent Guests

Yoni Leitersdorf
Co-founder and CEO of Solid
Solid
Episode: 205 - Everyone Says They’re the Missing Layer in Enterprise AI, So I Asked Solid’s CEO How He Proves That in a POC
Logan Havran
CEO of Datalogz
Datalogz
Episode: 204 - Showing ROI in 30 Minutes, Not Your AI: How Datalogz’s CEO Built a Sticky Enterprise Analytics Product
David Krauza
VP of Enterprise Data Strategy and Products and Governance
Comcast
Episode: 201 - What Enterprise Buyers Really Want from Analytics Software Companies with David Krauza
Nishkam Prabodh
Boston-based early-stage venture investor at Venture Guides
Venture Guides
Episode: 200 - VC Lessons on GTM, Product, and Moats for Data and Security Startups with Nishkam Prabodh
Bhaskar Sunkara
CEO of bicycle.ai
bicycle.ai
Episode: 199 - Why Your Analytical AI Product Might Need 2 Pitches, Not 1, with Bhaskar Sunkara, CEO (bicycle.ai)
Rana Gujral
CEO at Behavioral Signals
Behavioral Signals
Episode: 198 - Ship the Meter: Making Invisible AI Legible to Buyers with Rana Gujral
Juan Sequeda
Principal Data Strategist at ServiceNow; former founder of Capcenta; expert in knowledge graphs and ontologies
ServiceNow
Episode: 194 - AI for BI: Juan Sequeda on Preparing Your Analytics to Work With LLMs
Steve Ancheta
CEO of Zig
Zig
Episode: 191 - Turning Agents into Software that Sells [Smarter!] with Zig.ai CEO Steve Ancheta
Lucas Thelosen
CEO at Gravity, former Head of Product, Data and AI Cloud at Google
Gravity
Episode: 181 - Lessons Learned Designing Orion, Gravity’s AI, AI Analyst Product with CEO Lucas Thelosen (former Head of Product @ Google Data & AI Cloud)

Host

Brian T. O'Neill
Host of Experiencing Data; focuses on product, UX, analytics, and AI in data products

Reviews

4.8 out of 5 stars from 108 ratings
  • The tool is the easy part

    I lead analytics for a large enterprise. The David Krauza episode on how an enterprise buyer thinks covers something most data content leaves out. Bringing a tool in is the easy part. Whether it delivers value depends on work done earlier, agreeing what the measures mean and what success looks like. Experiencing Data gets to that level regularly. I’d recommend it if you lead a data team.

    Apple Podcasts
    5
    Jon_Malone
    United States19 days ago
  • Product orientation in analytics

    Thank you for all the content you produce. I’ve been listening to your podcast trying to better understand what product orientation adds to the equation of managing data and analytics. And what specifics need to be considered in the visual layer when it comes to analytics. This podcast has given me enormous value.

    Apple Podcasts
    5
    Carlos-LG
    Mexico4 months ago
  • Real Data Insight

    There are only a few data-focused podcasts that genuinely help you stay ahead by deepening your expertise with the latest trends and best practices, and this is definitely one of them.

    Apple Podcasts
    5
    Fatemeh.Ka
    Netherlandsa year ago
  • A Must-Listen for Data Product Designers and Analytics Enthusiasts

    If you’re in the world of data product design, analytics, or decision science, Brian T. O’Neill’s Designing for Analytics podcast is a goldmine of insights. It’s one of the few—if not the only—podcasts dedicated to the intersection of design, user experience, and data-driven products.

    Brian’s deep expertise and ability to distill complex topics into engaging discussions make each episode valuable, whether you're a designer, data scientist, or product leader. His interviews with industry experts... more

    Apple Podcasts
    5
    Jemoraz
    Spain2 years ago
  • Be engaged understand the positive difference UX makes!

    I have found that Brian T. O’Neill always has insightful and engaging guests on his podcast. It is a great topic space as user experience and service design are greatly under-valued and under-appreciated in the Data and AI spaces > they make such a positive impact in use and experience (my perspective). Do yourself a favour and listen to ‘Experiencing Data’.

    Apple Podcasts
    5
    p gimme
    Australia2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners praise the host's ability to distill complex topics into usable guidance.
Guest-quality is consistently high with actionable insights.
Diverse guest list helps translate tech into real-world ROI.
Audience receives practical advice for connecting data tech to business outcomes.
Shows depth on data product UX and practical value.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

205 - Everyone Says They’re the Missing Layer in Enterprise AI, So I Asked Solid’s CEO How He Proves That in a POC
Q: What is the moment in the POC that facilitates the buyer saying, there it is, I have my ammunition to go and get this deal done?
The teams agree on success criteria before the pilot, then measure accuracy and consistency on defined business questions. Business users assess whether answers are correct, while the data team evaluates how easily Solid creates, tests, and maintains semantic models.
205 - Everyone Says They’re the Missing Layer in Enterprise AI, So I Asked Solid’s CEO How He Proves That in a POC
Q: What does an ideal customer look like when they come in and evaluate a solution like this?
The strongest fit has a specific, funded business use case and has already built an agent that shows promise but fails evaluation because it cannot reliably understand and retrieve the relevant data.
200 - VC Lessons on GTM, Product, and Moats for Data and Security Startups with Nishkam Prabodh
Q: How do you advise portfolio companies on aligning product with buyer needs across different stakeholders?
Explain the business use case clearly, with a focus on how the product reduces risk, saves money, or increases revenue. The CISO and other executive buyers require a story that ties technical capability to business outcomes, and you must address both the end-user as well as procurement perspectives.
200 - VC Lessons on GTM, Product, and Moats for Data and Security Startups with Nishkam Prabodh
Q: What patterns differentiate portfolio companies that stall from those that succeed?
Defensible tech paired with repeatable GTM is crucial. The firm looks for clear markets, defensible technology, and GTM efficiency, with a strong emphasis on helping founders scale from founder-led selling to a repeatable, forecastable sales motion.
200 - VC Lessons on GTM, Product, and Moats for Data and Security Startups with Nishkam Prabodh
Q: Tell me about Venture Guides and how you approach investments in security and data.
Venture Guides focuses on infrastructure software, cybersecurity, and data, drawing on 30 years of investing and operating in the space. The firm deploys a small, highly active portfolio (15 companies per fund) with deep operational support in GTM, recruiting, and defining ideal customers to drive durable outcomes.

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Frequently Asked Questions About Experiencing Data

What is Experiencing Data about and what kind of topics does it cover?

This show centers on making data and AI products more usable, valuable, and adopted within organizations. Across episodes, topics tend to orbit around product management, UX design, data analytics, and the practical realities of turning advanced technology into measurable outcomes. Guests frequently discuss GTM strategies, ROI, and the human factors that influence adoption, with a recurring emphasis on aligning product capabilities with real-world workflows and buyer needs. A standout element is the creator's focus on translating complex tech into tangible value and actionable guidance for product teams, often blending design thinking with analytics and AI insights.

Overall, it's a practical, practitioner-focused exploration of how to clos... more

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How many listeners does Experiencing Data get?

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Which podcasts are similar to Experiencing Data?

These podcasts share a similar audience with Experiencing Data:

1. The a16z Show
2. Lenny's Podcast: Product | Career | Growth
3. Dwarkesh Podcast
4. Y Combinator Startup Podcast
5. BG2Pod with Brad Gerstner and Bill Gurley

How many episodes of Experiencing Data are there?

Experiencing Data launched 8 years ago and published 206 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Experiencing Data?

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What guests have appeared on Experiencing Data?

Recent guests on Experiencing Data include:

1. Yoni Leitersdorf
2. Logan Havran
3. David Krauza
4. Nishkam Prabodh
5. Bhaskar Sunkara
6. Rana Gujral
7. Juan Sequeda
8. Steve Ancheta

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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