The Experiencing Data Podcast

Now in the top 10% of all shows worldwide!

Wondering how today's data product leaders are designing machine learning and analytics solutions that are useful, usable, and valuable to their businesses? How do the disciplines of UX design, data product management, data science, and analytics dance together to build valuable, usable, and indispensable decision support applications?

One of the biggest challenges of today's leaders is that adoption of analytics and ML solutions by users continues to be low or even non-existent. My name is Brian T. O'Neill, and on Experiencing Data, I offer you a designer's perspective on why simply developing ML models, dashboards, and apps—outputs—aren't enough to drive meaningful user and business outcomes with data.

Through solo episodes and interviews with data product leaders, I explore how teams are integrating product-oriented methodologies and UX design to ensure their data-driven applications will get used in the last mile. After all, you can’t create business value if the humans in the loop won’t use the “solution.” I also feature special episodes on XAI, how ML model explainability and interpretability is tied into design and UX, and why data visualization alone isn’t sufficient to produce human-centered applications and user interfaces.

Whether you work in product at a B2B software company, or you build internal data products for a traditional enterprise, join me as I dig into what's working—and what isn't—when it comes to designing simple, valuable, human-centered data products.

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The Go-To Podcast for Data Product Management

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I‘m constantly gathering new input for my work as PM but I also recommend this Podcast for anyone who just wants to get a understanding of the topic.

Fredoo_ via Apple Podcasts Germany

An oasis of design for analytics

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HCD paired with Analytics is something I’ve thought about for a while. It still feels like not enough people really embrace it. Stumbling upon this podcast was like finding a little oasis of hope. Well done!

brennantim via Apple Podcasts

Great podcast providing the right balance of thought-provoking insights and practical tips

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As a product lead in clinical decision support space, I am enjoying this podcast very much. Good combination of strategy, product and design thinking. Brian does a great job with the diversity of speakers and he is a talented moderator. Every time I am leaving with deep reflections and some action steps to follow-up with my teams. Recommended for business, product and UX leads building data/analytics solutions!

Fbidontlikethisfeature via Apple Podcasts

Great insights, in this to-the-point podcast

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Great podcast on the human side of data science. Brian asks questions that trigger interesting responses from the well-established guests. Lots of insights, how we can use empathy to build better data products. I appreciate the human centric approach.

GilbertE2020 from Netherlands

Tremendously valuable…Insights in how to think about analytics projects

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Many of the blog posts, podcasts, etc. are focused on the technical "how" behind analytics and visualization (e.g. which library or tool to use, streaming or batch). This podcast focuses more on the critical link between the business strategy, user experience and use case for analytics projects and the technical underpinnings. For anyone looking at making their data products more successful, these discussions are tremendously valuable.

JKinghorn

Top notch…entertaining and informative content!

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As a data analyst and consumer of many data related podcast, I found Brian’s show to be top notch as its very informative and insightful. If you enjoy designing and building great data products that meet the needs of your business users, then you should check out this show!

enceladusdata

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Join my DFA Insights mailing list to get weekly insights on creating human-centered data products, special offers on my training courses and seminars, and one-page briefs about each new episode of #ExperiencingData.

Past Episodes: Audio and Transcripts

Listen to past episodes and browse text transcripts with the providers above or directly on my website: