Today I’m chatting with Osian Jones, Head of Product for the Data Platform at Stuart. Osian describes how impact and ROI can be difficult metrics to measure in a data platform, and how the team at Stuart has sought to answer this challenge. He also reveals how user experience is intrinsically linked to adoption and the technical problems that data platforms seek to solve. Throughout our conversation, Osian shares a holistic overview of what it was like to design a data platform from scratch, the lessons he’s learned along the way, and the advice he’d give to other data product managers taking on similar projects.
Highlights/ Skip to:
143 - The (5) Top Reasons AI/ML and Analytics SAAS Product Leaders Come to Me For UI/UX Design Help
142 - Live Webinar Recording: My UI/UX Design Audit of a New Podcast Analytics Service w/ Chris Hill (CEO, Humblepod)
141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne
140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ
139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)
138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures
137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen
136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman
135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations
134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”
133 - New Experiencing Data Interviews Coming in January 2024
132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner
131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill
130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome
129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue
128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst
127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry
126 - Designing a Product for Making Better Data Products with Anthony Deighton
125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao
124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective
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