Experiencing Data w/ Brian T. O’Neill (UX for AI Data Products, SAAS Analytics, Data Product Management)
Brian T. O’Neill from Designing for Analytics
Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?
While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?
If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype?
My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions.
Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you can borrow strategies.
I also occasionally record solo episodes on applying UI/UX design strategies to data products—so you and your team can unlock financial value by making your users’ and customers’ lives better.
Hashtag: #ExperiencingData.
JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPS
https://designingforanalytics.com/ed
ABOUT THE HOST, BRIAN T. O’NEILL:
https://designingforanalytics.com/bio/
While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?
If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype?
My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions.
Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you can borrow strategies.
I also occasionally record solo episodes on applying UI/UX design strategies to data products—so you and your team can unlock financial value by making your users’ and customers’ lives better.
Hashtag: #ExperiencingData.
JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPS
https://designingforanalytics.com/ed
ABOUT THE HOST, BRIAN T. O’NEILL:
https://designingforanalytics.com/bio/
Episodes
Mentioned books
Nov 14, 2024 • 42min
156-The Challenges of Bringing UX Design and Data Science Together to Make Successful Pharma Data Products with Jeremy Forman
In this discussion, Jeremy Forman, VP of R&D, AI, Data, and Analytics at Pfizer, shares his vast experience in building AI-driven data products for pharmaceuticals. He explains the vital collaboration between data product analysts and UX designers in addressing user needs. Jeremy highlights the challenges of integration within medical data products and the importance of justifying UX budgets. He reflects on the transformative shift towards prioritizing user outcomes and how effective UX can enhance engagement and product adoption, ensuring that complex data solutions truly serve researchers.
18 snips
Oct 29, 2024 • 56min
155 - Understanding Human Engagement Risk When Designing AI and GenAI User Experiences
Ovetta Sampson, Director of User Experience for Core Machine Learning at Google, is an expert in human-centered AI design. She discusses the delicate balance between AI innovation and ethical considerations. Topics include the critical roles of diverse teams in AI UX design, the urgent need for guardrails to protect data integrity, and the responsibilities of product teams as GenAI technology evolves. Ovetta also highlights the potential risks of mishandling AI and stresses the importance of thoughtful collaboration between humans and machines.
Oct 15, 2024 • 45min
154 - 10 Things Founders of B2B SAAS Analytics and AI Startups Get Wrong About DIY Product and UI/UX Design
Founders of B2B SaaS analytics and AI startups often struggle with DIY UI/UX design, leading to confusion and stagnant progress. Common pitfalls include misjudging the balance between originality and replication, excessive customization, and the misunderstanding of key design concepts. There's a focus on the importance of clear value propositions and user-centric design. The discussion highlights when to seek outside expertise to enhance effectiveness and prevent customer attrition, ensuring a more compelling product experience.
Oct 1, 2024 • 58min
153 - What Impressed Me About How John Felushko Does Product and UX at the Analytics SAAS Company, LabStats
Join John Felushko, a product manager at LabStats focused on optimizing university resource usage. He shares insights on how understanding customer value can transform analytics products, emphasizing strong relationships with users. John dives into cultural differences impacting international expansion and discusses the importance of collaborative design to boost user adoption. With a colorful background in history and finance, he highlights the lessons learned from past failures and the significance of aligning products with genuine user needs.
Sep 17, 2024 • 53min
152 - 10 Reasons Not to Get Professional UX Design Help for Your Enterprise AI or SAAS Analytics Product
Exploring the potential downsides of hiring professional UX design services for enterprise AI and SaaS analytics products, the discussion reframes misconceptions around design needs. It delves into the complexities of crafting user experiences without oversimplifying intricate functionalities. Concerns about the impact of GenAI and the value of emotional responses in design are also addressed. Ultimately, the conversation emphasizes the necessity of genuine user insights and the importance of building trust in AI solutions.
Sep 3, 2024 • 50min
151 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)
Due to a technical glitch that ended up unpublishing this episode right after it originally was released, Episode 151 is a replay of my conversation with Zalak Trivdei from this past March . Please enjoy our chat if you missed it the first time around!
Thanks,
Brian
Links
Original Episode: https://designingforanalytics.com/resources/episodes/139-monetizing-saas-analytics-and-the-challenges-of-designing-a-successful-embedded-bi-product-promoted-episode/
Sigma Computing: https://sigmacomputing.com
Email: zalak@sigmacomputing.com
LinkedIn: https://www.linkedin.com/in/trivedizalak/
Sigma Computing Embedded: https://sigmacomputing.com/embedded
About Promoted Episodes on Experiencing Data: https://designingforanalytics.com/promoted
14 snips
Aug 29, 2024 • 52min
150 - How Specialized LLMs Can Help Enterprises Deliver Better GenAI User Experiences with Mark Ramsey
Mark Ramsey from Ramsey International dives into the rapid evolution of large language models (LLMs) and their potential in enhancing user experiences. He humorously reflects on how companies can pilot LLM projects using their own website data while navigating privacy concerns. The conversation highlights the need for real human testing to improve AI interactions, the exciting prospects for healthcare, and how specialized LLMs can outperform traditional business intelligence tools. Expect insights on re-ranking strategies and the future impact of GenAI on data analytics!
35 snips
Aug 6, 2024 • 50min
149 - What the Data Says About Why So Many Data Science and AI Initiatives Are Still Failing to Produce Value with Evan Shellshear
In this engaging discussion, Evan Shellshear, an author focused on data science challenges, reveals why AI initiatives struggle to deliver value. He emphasizes the crucial disconnect between data scientists and decision-makers. The conversation highlights how human factors, such as organizational culture and communication barriers, often undermine projects. Evan argues that educating data scientists on these interpersonal skills is vital and offers insights into how analytically mature companies can foster better project outcomes. Tune in for actionable strategies!
Jul 23, 2024 • 27min
148 - UI/UX Design Considerations for LLMs in Enterprise Applications (Part 2)
Explore UX considerations for Large Language Models (LLMs) in enterprise applications. Learn about the importance of quality data, balance between creativity and accuracy, and handling hallucinations. Discover how AI and LLMs open doors for fresh visioning work. Hear Brian's take on LLMs in enterprise software. Reflect on using LLMs for trip insurance shopping and the role of AI as an assistant in decision-making.
5 snips
Jul 10, 2024 • 26min
147 - UI/UX Design Considerations for LLMs in Enterprise Applications (Part 1)
Exploring the challenges and importance of user experience design when deploying Large Language Models (LLMs) in enterprise applications. Topics include FOMO driving LLM initiatives, UX considerations, challenges with LLM UIs, measuring UX outcomes, and the need for careful benchmarks. The podcast also discusses the immature space of LLM UI/UX design and the mindset needed for integrating LLMs into enterprise software.
