My 10 Most Popular Podcast Episodes of 2024 (for Experiencing Data)

Since you're probably a data person, you're probably wondering "how did you calculate that?"

Unfortunately, not very efficiently! Podbean, my platform for the Experiencing Data podcast, does not provide very good analytics information, so these stats are simply based on the # of downloads in the calendar year 2024. This doesn't account for when the show was released, and the number of subscribers at any given time, so older shows probably have a little more "lift" given they've been around longer. However, being a UX consultant, you may know I'm thinking "is the data useful enough to help a new listeners know where to get started listening?" I think it is!

Perhaps notable is that the #1 episode (Karen Meppen's) had only~33% more downloads than the #10 episode (my own solo episode on UX for LLMs) so overall, the download counts across the 10 aren't super drastic and when adjusted for age, they might all cluster even more tightly together. If anything, Evan Shellshear's episode on what new data says about why data science projects continue to fail might be the most interesting as it's one of the newest episodes in the list, but it came in #4 in the top 10 list.

So, without further delay, here were the top 10 episodes - with the most popular episode being from Karen Meppen of Hakkoda (also a Founding Member of the Data Product Leadership Community).

137 – Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen

February 20, 2024

This week, I’m chatting with Karen Meppen, a founding member of the Data Product Leadership Community and a Data Product Architect and Client Services Director at Hakkoda. Today, we’re tackling the difficult topic of developing data products in situations where a product-oriented culture and data infrastructures may still be emerging or “at odds” with a … Read more

138 – VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures

March 5, 2024

In this episode of Experiencing Data, I speak with Ellen Chisa, Partner at BoldStart Ventures, about what she’s seeing in the venture capital space around AI-driven products and companies-particularly with all the new GenAI capabilities that have emerged in the last year. Ellen and I first met when we were both engaged in travel tech … Read more

134 – What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”

January 9, 2024

In this episode, I’m chatting with former Gartner analyst Sanjeev Mohan who is the Co-Author of Data Products for Dummies. Throughout our conversation, Sanjeev shares his expertise on the evolution of data products, and what he’s seen as a result of implementing practices that prioritize solving for use cases and business value. Sanjeev also shares … Read more

149 – What the Data Says About Why So Many Data Science and AI Initiatives Are Still Failing to Produce Value with Evan Shellshear

August 6, 2024

Episode Description 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 … Read more

135 – “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations

January 23, 2024

This week, I’m chatting with Steve Portigal, who is the Principal of Portigal Consulting and the Author of Interviewing Users. We discuss the changes that prompted him to release a second version of his book 10 years after its initial release, and dive into the best practices that any team can implement to start unlocking … Read more

145 – Data Product Success: Adopting a Customer-Centric Approach With Malcolm Hawker, Head of Data Management at Profisee

June 11, 2024

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, … Read more

140 – Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ

April 2, 2024

This week on Experiencing Data, I chat with a new kindred spirit! Recently, I connected with Thabata Romanowski—better known as "T from Data Rocks NZ"—to discuss her experience applying UX design principles to modern analytical data products and dashboards. T walks us through her experience working as a data analyst in the mining sector, sharing … Read more

136 – Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman

February 6, 2024

This week I’m chatting with Caroline Zimmerman, Director of Data Products and Strategy at Profusion. Caroline shares her journey through the school of hard knocks that led to her discovery that incorporating more extensive UX research into the data product design process improves outcomes. We explore the complicated nature of discovering and building a better … Read more

141 – How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne

April 16, 2024

In this week’s episode of Experiencing Data, I’m joined by Duncan Milne, a Director, Data Investment & Product Management at the Royal Bank of Canada (RBC). Today, Duncan (who is also a member of the DPLC) gives a preview of his upcoming webinar on April 24, 2024 entitled, “Is that Data Product Worth Building? Estimating … Read more

147 – LLMs need UX: How to Increase Your B2B Product’s Value with AI (Part 1)

July 9, 2024

This is a podcast summary and transcript, but this piece is also available in a reading-friendly article format. 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 … Read more

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