151 Episodes

  1. 169 - AI Product Management and UX: What’s New (If Anything) About Making Valuable LLM-Powered Products with Stuart Winter-Tear

    Published: 5/13/2025

  2. 168 - 10 Challenges Internal Data Teams May Face Building Their First Revenue-Generating Data Product

    Published: 4/29/2025

  3. 167 - AI Product Management and Design: How Natalia Andreyeva and Team at Infor Nexus Create B2B Data Products that Customers Value

    Published: 4/16/2025

  4. 166 - Can UX Quality Metrics Increase Your Data Product's Business Value and Adoption?

    Published: 4/1/2025

  5. 165 - How to Accommodate Multiple User Types and Needs in B2B Analytics and AI Products When You Lack UX Resources

    Published: 3/18/2025

  6. 164 - The Hidden UX Taxes that AI and LLM Features Impose on B2B Customers Without Your Knowledge

    Published: 3/4/2025

  7. 163 - It’s Not a Math Problem: How to Quantify the Value of Your Enterprise Data Products or Your Data Product Management Function

    Published: 2/18/2025

  8. 162 - Beyond UI: Designing User Experiences for LLM and GenAI-Based Products

    Published: 2/4/2025

  9. 161 - Designing and Selling Enterprise AI Products [Worth Paying For]

    Published: 1/21/2025

  10. 160 - Leading Product Through a Merger/Acquisition: Lessons from The Predictive Index’s CPO Adam Berke

    Published: 1/7/2025

  11. 159 - Uncorking Customer Insights: How Data Products Revealed Hidden Gems in Liquor & Hospitality Retail

    Published: 12/24/2024

  12. 158 - From Resistance to Reliance: Designing Data Products for Non-Believers with Anna Jacobson of Operator Collective

    Published: 12/10/2024

  13. 157 - How this materials science SAAS company brings PM+UX+data science together to help materials scientists accelerate R&D

    Published: 11/26/2024

  14. 156-The Challenges of Bringing UX Design and Data Science Together to Make Successful Pharma Data Products with Jeremy Forman

    Published: 11/14/2024

  15. 155 - Understanding Human Engagement Risk When Designing AI and GenAI User Experiences

    Published: 10/29/2024

  16. 154 - 10 Things Founders of B2B SAAS Analytics and AI Startups Get Wrong About DIY Product and UI/UX Design

    Published: 10/15/2024

  17. 153 - What Impressed Me About How John Felushko Does Product and UX at the Analytics SAAS Company, LabStats

    Published: 10/1/2024

  18. 152 - 10 Reasons Not to Get Professional UX Design Help for Your Enterprise AI or SAAS Analytics Product

    Published: 9/17/2024

  19. 151 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)

    Published: 9/3/2024

  20. 150 - How Specialized LLMs Can Help Enterprises Deliver Better GenAI User Experiences with Mark Ramsey

    Published: 8/29/2024

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Are you an enterprise data or product leader seeking to increase the user adoption and business value of your ML/AI and analytical data products? While it is easier than ever to create ML and analytics from a technology perspective, do you find that getting users to use, buyers to buy, and stakeholders to make informed decisions with data remains challenging? If you lead an enterprise data team, have you heard that a ”data product” approach can help—but you’re not sure what that means, or whether software product management and UX design principles can really change consumption of ML and analytics? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I offer you a consulting product designer’s perspective on why simply creating ML models and analytics dashboards aren’t sufficient to routinely produce outcomes for your users, customers, and stakeholders. My goal is to help you design more useful, usable, and delightful data products by better understanding your users, customers, and business sponsor’s needs. After all, you can’t produce business value with data if the humans in the loop can’t or won’t use your solutions. Every 2 weeks, I release solo episodes and interviews with chief data officers, data product management leaders, and top UX design and research professionals working at the intersection of ML/AI, analytics, design and product—and now, I’m inviting you to join the #ExperiencingData listenership. Transcripts, 1-page summaries and quotes available at: https://designingforanalytics.com/ed ABOUT THE HOST Brian T. O’Neill is the Founder and Principal of Designing for Analytics, an independent consultancy helping technology leaders turn their data into valuable data products. He is also the founder of The Data Product Leadership Community. For over 25 years, he has worked with companies including DellEMC, Tripadvisor, Fidelity, NetApp, Roche, Abbvie, and several SAAS startups. He has spoken internationally, giving talks at O’Reilly Strata, Enterprise Data World, the International Institute for Analytics Symposium, Predictive Analytics World, and Boston College. Brian also hosts the highly-rated podcast Experiencing Data, advises students in MIT’s Sandbox Innovation Fund and has been published by O’Reilly Media. He is also a professional percussionist who has backed up artists like The Who and Donna Summer, and he’s graced the stages of Carnegie Hall and The Kennedy Center. Subscribe to Brian’s Insights mailing list at https://designingforanalytics.com/list.