
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
| Publishes | Twice monthly | Episodes | 100 | Founded | 8 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ManagementTechnologyBusiness | |||

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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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.
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
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’.
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.
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.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #157 | |
Apple Podcasts | #250 |
Recent interactions between the hosts and their guests.
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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.
Rephonic provides a wide range of podcast stats for Experiencing Data. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Experiencing Data and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Experiencing Data, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Experiencing Data, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Experiencing Data has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with Experiencing Data:
1. The a16z Show
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. The MAD Podcast with Matt Turck
4. HBR IdeaCast
5. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Experiencing Data from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Experiencing Data. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
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.