In this engaging discussion, Anna Jacobson, Operations and Data Partner at Operator Collective, shares her unique journey from construction management to data product design. She opens up about the art of persuading resistant users to embrace data products. Anna emphasizes the importance of user feedback and understanding diverse perspectives for successful product adoption. She also highlights how cultural challenges within organizations can impede progress and how engaging skeptics can turn them into advocates for data insights.

Ori Yudilevich, Chief Product Officer at MaterialsZone, discusses how his team harnesses machine learning and AI to revolutionize materials science R&D. He shares insights on creating a user-friendly SaaS platform that streamlines experimentation for scientists. The conversation highlights the importance of integrating product management, user experience, and data science to enhance efficiency. Ori also emphasizes the role of user feedback in refining designs and driving adoption, ultimately making materials testing faster and more cost-effective.

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.

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.

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.

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.

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.

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

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!

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!