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Artwork for Experiencing Data

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
Customer Needs
AI Product Management
User Adoption
Analytics
Machine Learning
Data Analytics
User Research
AI
Human-Centered Design

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 ca... more

PublishesTwice monthlyEpisodes100Founded8 years ago
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ManagementTechnologyBusiness

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Artwork for Experiencing Data

Latest Episodes

I’m talking to Bhaskar Sunkara, CEO of bicycle.AI, which provides an AI analyst product designed to monitor revenue-critical KPIs, investigate the business and technical drivers behind KPI changes, and take a “governed next step.” Bhaskar explains wh... more

Today, I'm talking to Rana Gujral, CEO of Behavioral Signals, which provides AI that interprets human behavioral cues in speech to help route call center conversations more effectively, improve customer service performance, and detect voice-based fra... more

Everyone is racing to the same place chasing a limited set of buyers—how will your “AI for BI” product stand out?

I've been seeing teams heavily invest in copilots, agents, semantic layers, governance frameworks, and increasingly sophisticated models... more

I've been seeing a recurring pattern with companies selling APIs, MCPs, data feeds, and other developer-focused AI products. While the technology is often sound if not impressive, sales momentum sometimes slows when prospects have to imagine how the ... more

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Recent Guests

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)
Kate O'Neill
Author, speaker, and founder at KO Insights, with a background in technology and analytics.
KO Insights
Episode: 178 - Designing Human-Friendly AI Tech in a World Moving Too Fast with Author and Speaker Kate O’Neill
Ilya Preston
Co-founder and CEO at Paxafe
Paxafe
Episode: 177 - Designing Effective Commercial AI Data Products for the Cold Chain with the CEO of Paxafe
Irina Malkova
VP of AI Engineering and Data Analytics for Tech and Product at Salesforce
Salesforce
Episode: 174 - Why AI Adoption Moves at the Speed of User Trust Irina Malkova on Lessons Learned Building Data Products at Salesforce
Todd Olson
CEO at Pendo
Pendo
Episode: 173 - Pendo’s CEO on Monetizing an Analytics SAAS Product, Avoiding Dashboard Fatigue, and How AI is Changing Product Work
Shri Santhanam
EVP of Software Platforms and AI and Chief AI Officer of Experian North America
Experian
Episode: 170 - Turning Data into Impactful AI Products at Experian: Lessons from North American Chief AI Officer Shri Santhnam (Promoted Episode)
Stuart Winter-Tear
Chief Product Officer and Partner at Artemis Ventures
Artemis Ventures
Episode: 169 - AI Product Management and UX: What’s New (If Anything) About Making Valuable LLM-Powered Products with Stuart Winter-Tear

Host

Brian T. O'Neill
Host of Experiencing Data; founder/author behind Designing for Analytics; specializes in connecting data products to outcomes through UX and product leadership.

Reviews

4.8 out of 5 stars from 104 ratings
  • 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
    Netherlands8 months 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
    Spaina year 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
  • Excellent analysis, exceptional design

    Brian is bringing it home with this podcast. I initially found the show as a result of my interests in UX design and data analytics. The podcast on UI/UX with LLMs is spot on. Highly recommended.

    Apple Podcasts
    5
    JMDien
    United States2 years ago
  • Time well spent

    I met Brian a year ago at a CDO workgroup meeting and was immediately taken with his thinking around how to best leverage data and communicate actionable insights.

    Apple Podcasts
    5
    Adam-from-Texas
    United States2 years ago

Listeners Say

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

Guest quality and topic relevance are consistently high for data products and UX-focused analytics.
The show is valued for translating complex analytics concepts into usable guidance for practitioners.
Listeners praise the host's clear, practical perspective and engaging guests.
Often recommended as essential listening for data product teams and UX-focused analytics professionals
Professional and actionable insights that bridge data, design, and product management.

Chart Rankings

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

Apple Podcasts
#157
Ukraine/Technology
Apple Podcasts
#250
Mexico/Technology

Talking Points

Recent interactions between the hosts and their guests.

194 - AI for BI: Juan Sequeda on Preparing Your Analytics to Work With LLMs
Q: How should a small to mid-sized business approach build vs buy for chat-with-data capabilities?
Evaluate whether you want to embed external AI layers or own the ecosystem end-to-end, considering OEM possibilities, costs, and the strategic priority of being AI-native.
185 - Driving Healthcare Impact by Aligning Teams Around Outcomes with Bill Saltmarsh
Q: How do you measure the ROI and contribution of the data team in a healthcare setting?
It's challenging because the impact of data efforts on patient care isn't always linear, but ensuring that work aligns with defined organizational goals helps establish that connection.
185 - Driving Healthcare Impact by Aligning Teams Around Outcomes with Bill Saltmarsh
Q: How do you scale this across the team? Do you adjust everyone's work or just a small group of product managers?
It requires both leadership to set standards and individual data team members to adapt their roles and responsibilities to align with a data as a product mindset.
181 - Lessons Learned Designing Orion, Gravity’s AI, AI Analyst Product with CEO Lucas Thelosen (former Head of Product @ Google Data & AI Cloud)
Q: What kinds of objections do you get regarding Orion's efficiency and trustworthiness?
Common objections include skepticism about accuracy and the trustworthiness of AI-generated insights, which are addressed through rigorous quality assurance and transparency in data handling.
181 - Lessons Learned Designing Orion, Gravity’s AI, AI Analyst Product with CEO Lucas Thelosen (former Head of Product @ Google Data & AI Cloud)
Q: Where did this start? Was it more in a repeat problem thing, or more of a, I can do, there's amazing technology here, and we think we can find a market for it?
It was a repeat problem thing, with the common challenge of bandwidth in analytics teams that Lucas observed.

Audience Metrics

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Frequently Asked Questions About Experiencing Data

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

A practitioner-focused show that centers on turning analytics, BI, and AI capabilities into measurable business value through human-centered design and practical product management. Episodes frequently explore how to connect data products to real workflows, emphasize user adoption, and reduce friction by aligning technology with decision-making, user needs, and organizational context. Notable strengths include a steady stream of experienced guests from data, design, and product management, plus a clear emphasis on usable, outcomes-driven analytics products over flashy tech.

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How many episodes of Experiencing Data are there?

Experiencing Data launched 8 years ago and published 100 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. Juan Sequeda
2. Steve Ancheta
3. Lucas Thelosen
4. Kate O'Neill
5. Ilya Preston
6. Irina Malkova
7. Todd Olson
8. Shri Santhanam

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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