Experiencing Data w/ Brian T. O’Neill - Data Products, Product Management, & UX Design

By Brian T. O’Neill from Designing for Analytics

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Subscribers: 22
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Episodes: 100

Description

If you’re a leader tasked with generating business and org. value through ML/AI and analytics, you’ve probably struggled with low user adoption. Making the tech gets easier, but getting users to use, and buyers to buy, remains difficult—but you’ve heard a ”data product” approach can help. Can it? 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 designer’s perspective on why creating ML and analytics outputs isn’t enough to create business and UX outcomes. How can UX design and product management help you create innovative ML/AI and analytical data products? What exactly are data products—and how can data product management help you increase user adoption of ML/analytics—so that stakeholders can finally see the business value of your data? Every 2 weeks, I answer these questions via solo episodes and interviews with innovative chief data officers, data product management leaders, and top UX professionals. Hashtag: #ExperiencingData. PODCAST HOMEPAGE: Get 1-page summaries, text transcripts, and join my Insights mailing list: https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/

Episode Date
141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne
Apr 16, 2024
140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ
Apr 02, 2024
139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)
Mar 19, 2024
138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures
Mar 05, 2024
137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen
Feb 20, 2024
136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman
Feb 06, 2024
135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations
Jan 23, 2024
134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”
Jan 09, 2024
133 - New Experiencing Data Interviews Coming in January 2024
Dec 26, 2023
132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner
Dec 12, 2023
131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill
Nov 28, 2023
130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome
Nov 14, 2023
129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue
Oct 31, 2023
128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst
Oct 17, 2023
127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry
Oct 03, 2023
126 - Designing a Product for Making Better Data Products with Anthony Deighton
Sep 19, 2023
125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao
Sep 05, 2023
124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective
Aug 22, 2023
123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill
Aug 08, 2023
122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill
Jul 25, 2023
121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill
Jul 11, 2023
120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2)
Jun 27, 2023
119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1)
Jun 13, 2023
118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom
May 30, 2023
117 - Phil Harvey, Co-Author of “Data: A Guide to Humans,” on the Non-Technical Skills Needed to Produce Valuable AI Solutions
May 16, 2023
116 - 10 Reasons Your Customers Don’t Make Time for Your Data Product Initiatives + A Big Update on the Data Product Leadership Community (DPLC)
May 02, 2023
115 - Applying a Product and UX-Driven Approach to Building Stuart’s Data Platform with Osian Jones
Apr 18, 2023
114 - Designing Anti-Biasing and Explainability Tools for Data Scientists Creating ML Models with Josh Noble
Apr 04, 2023
113 - Turning the Weather into an Indispensable Data Product for Businesses with Cole Swain, VP Product at tomorrow.io
Mar 21, 2023
112 - Solving for Common Pitfalls When Developing a Data Strategy featuring Samir Sharma, CEO of datazuum
Mar 07, 2023
111 - Designing and Monetizing Data Products Like a Startup with Yuval Gonczarowski
Feb 21, 2023
110 - CDO Spotlight: The Value and Journey of Implementing a Data Product Mindset with Sebastian Klapdor of Vista
Feb 07, 2023
109 - The Role of Product Management and Design in Turning ML/AI into a Valuable Business with Bob Mason from Argon Ventures
Jan 24, 2023
108 - Google Cloud’s Bruno Aziza on What Makes a Good Customer-Obsessed Data Product Manager
Jan 10, 2023
107 - Tom Davenport on Data Product Management and the Impact of a Product Orientation on Enterprise Data Science and ML Initiatives
Dec 27, 2022
106 - Ideaflow: Applying the Practice of Design and Innovation to Internal Data Products w/ Jeremy Utley
Dec 13, 2022
105 - Defining “Data Product” the Producty Way and the Non-technical Skills ML/AI Product Managers Need
Nov 29, 2022
104 - Surfacing the Unarticulated Needs of Users and Stakeholders through Effective Listening
Nov 15, 2022
103 - Helping Pediatric Cardiac Surgeons Make Better Decisions with ML featuring Eugenio Zuccarelli of MIT Media Lab
Nov 01, 2022
102 - CDO Spotlight: The Non-Technical Roles Data Science and Analytics Teams Need to Drive Adoption of Data Products w/ Iván Herrero Bartolomé
Oct 18, 2022
101 - Insights on Framing IOT Solutions as Data Products and Lessons Learned from Katy Pusch
Oct 04, 2022
100 - Why Your Data, AI, Product & Business Strategies Must Work Together (and Digital Transformation is The Wrong Framing) with Vin Vashishta
Sep 20, 2022
099 - Don’t Boil the Ocean: How to Generate Business Value Early With Your Data Products with Jon Cooke, CTO of Dataception
Sep 06, 2022
098 - Why Emilie Schario Wants You to Run Your Data Team Like a Product Team
Aug 23, 2022
097 - Why Regions Bank’s CDAO, Manav Misra, Implemented a Product-Oriented Approach to Designing Data Products
Aug 09, 2022
096 - Why Chad Sanderson, Head of Product for Convoy’s Data Platform, is a Champion of Data UX
Jul 26, 2022
095 - Increasing Adoption of Data Products Through Design Training: My Interview from TDWI Munich
Jul 12, 2022
094 - The Multi-Million Dollar Impact of Data Product Management and UX with Vijay Yadav of Merck
Jun 28, 2022
093 - Why Agile Alone Won’t Increase Adoption of Your Enterprise Data Products
Jun 14, 2022
092 - How to measure data product value from a UX and business lens (and how not to do it)
May 31, 2022
091 - How Brazil’s Biggest Fiber Company, Oi, Leverages Design To Create Useful Data Products with Sr. Exec. Design Manager, João Critis
May 17, 2022
090 - Michelle Carney’s Mission With MLUX: Bringing UX and Machine Learning Together
May 03, 2022
089 - Reader Questions Answered about Dashboard UX Design
Apr 19, 2022
088 - Doing UX Research for Data Products and The Magic of Qualitative User Feedback with Mike Oren, Head of Design Research at Klaviyo
Apr 05, 2022
087 - How Data Product Management and UX Integrate with Data Scientists at Albertsons Companies to Improve the Grocery Shopping Experience
Mar 22, 2022
086 - CED: My UX Framework for Designing Analytics Tools That Drive Decision Making
Mar 08, 2022
085 - Dr. William D. Báez on the Journey and ROI of Integrating UX Design into Machine Learning and Analytics Solutions
Feb 22, 2022
084 - The Messy Truth of Designing and Building a Successful Analytics SAAS Product featuring Jonathan Kay (CEO, Apptopia)
Feb 08, 2022
083 -Why Bob Goodman Thinks Product Management and Design Must Dance Together to Create “Experience Layers” for Data Products
Jan 25, 2022
082 - What the 2021 $1M Squirrel AI Award Winner Wants You To Know About Designing Interpretable Machine Learning Solutions w/ Cynthia Rudin
Jan 11, 2022
081 - The Cultural and $ Benefits of Human-Centered AI in the Enterprise: Digging Into BCG/MIT Sloan’s AI Research w/ François Candelon
Dec 28, 2021
080 – How to Measure the Impact of Data Products…and Anything Else with Forecasting and Measurement Expert Doug Hubbard
Dec 14, 2021
079 - How Sisu’s CPO, Berit Hoffmann, Is Approaching the Design of Their Analytics Product…and the UX Mistakes She Won’t Make Again
Nov 30, 2021
078 - From Data to Product: What is Data Product Management and Why Do We Need It with Eric Weber
Nov 16, 2021
077 - Productizing Analytics for Performing Arts Organizations with AMS Analytics CPO Jordan Gross Richmond
Nov 02, 2021
076 - How Bedrock’s “Data by Design” Mantra Helps Them Build Human-Centered Solutions with Jesús Templado
Oct 19, 2021
075 - How CDW is Integrating Design Into Its Data Science and Analytics Teams with Prasad Vadlamani
Oct 05, 2021
074 - Why a Former Microsoft ML/AI Researcher Turned to Design to Create Intelligent Products from Messy Data with Abhay Agarwal, Founder of Polytopal
Sep 21, 2021
073 - Addressing the Functional and Emotional Needs of Users When Designing Data Products with Param Venkataraman
Sep 07, 2021
072 - How to Get Stakeholders to Reveal What They Really Need From a Data Product with Cindy Dishmey Montgomery
Aug 24, 2021
071 - The ROI of UX Research and How It Applies to Data Products with Bill Albert
Aug 10, 2021
070 - Fighting Fire with ML, the AI Incident Database, and Why Design Matters in AI-Driven Software with Sean McGregor
Jul 27, 2021
069 - The Role of Creativity and Product Thinking in Data Monetization with ‘Infonomics’ Author Doug Laney
Jul 13, 2021
068 - Why User Adoption of Enterprise Data Products Continues to Lag with International Institute for Analytics Executive VP Drew Smith
Jun 29, 2021
067 - Why Roche Diagnostics’ BI and Data Science Teams Are Adopting Human-Centered Design and UX featuring Omar Khawaja
Jun 15, 2021
066 - How Alison Magyari Used Design Thinking to Transform Eaton’s Business Analytics Approach to Creating Data Products
Jun 01, 2021
065 - Balancing Human Intuition and Machine Intelligence with Salesforce Director of Product Management Pavan Tumu
May 18, 2021
064 - How AI Shapes the Products of Startups in MIT’s “Tough Tech” Venture Fund, The Engine feat. General Partner, Reed Sturtevant
May 04, 2021
063 - Beyond Compliance: Designing Data Products With Data Privacy As a UX Benefit with The Data Diva (Debbie Reynolds)
Apr 20, 2021
062 - Why Ben Shneiderman is Writing a Book on the Importance of Designing Human-Centered AI
Apr 06, 2021
061 - Applying a Product Mindset to Internal Data Products with Silicon Valley Product Group Partner Marty Cagan
Mar 23, 2021
060 - How NPR Uses Data to Drive Editorial Decisions in the Newsroom with Sr. Dir. of Audience Insights Steve Mulder
Mar 09, 2021
059 - How Design Thinking Helps Organizations and Data Science Teams Create Economic Value with Machine Learning and Analytics feat. Bill Schmarzo
Feb 23, 2021
058 - IoT Spotlight: 8 UI / UX Strategies for Designing Indispensable Monitoring Applications
Feb 09, 2021
057 - How to Design Successful Enterprise Data Products When You Have Multiple User Types to Satisfy
Jan 26, 2021
056 - How Design Helps Drive Adoption of Data Products Used for Social Work with Chief Data Officer Dr. Besa Bauta of MercyFirst
Jan 12, 2021
055 - What Can Carol Smith’s Ethical AI Work at the DoD Teach Us About Designing Human-Machine Experiences?
Dec 29, 2020
054 - Jared Spool on Designing Innovative ML/AI and Analytics User Experiences
Dec 15, 2020
053 - Creating (and Debugging) Successful Data Product Teams with Jesse Anderson
Dec 01, 2020
052 - Reasons Automated Decision Making with Machine Learning Can Fail with James Taylor
Nov 17, 2020
051 - Methods for Designing Ethical, Human-Centered AI with Undock Head of Machine Learning, Chenda Bunkasem
Nov 03, 2020
050 - Ways to Practice Creativity and Foster Innovation When You’re An Analytical Thinker
Oct 20, 2020
049 - CxO & Digital Transformation Focus: (10) Reasons Users Can’t or Won’t Use Your Team’s ML/AI-Driven Software and Analytics Applications
Oct 06, 2020
048 - Good vs. Great: (10) Things that Distinguish the Best Leaders of Intelligent Products, Analytics Applications, and Decision Support Tools
Sep 22, 2020
047 - How Yelp Integrates Data Science, Engineering, UX, and Product Management when Creating AI Products with Yelp’s Justin Norman
Sep 08, 2020
046 - How Steelcase’s Data Science, UX, & Product Teams Are Helping Customers Design Safer Office Workplaces Informed by Covid-19 Recommendations w/ J...
Aug 25, 2020
045 - Healthcare Analytics…or Actionable Decision Support Tools? Leadership Strategies from Novant Health’s SVP of Data Products, Karl Hightower
Aug 11, 2020
044 - The Roles of Product and Design when “Competing in the Age of AI” with HBS Professor and Author Karim Lakhani
Jul 28, 2020
043 - What a Product Management Mindset Can do for Data Science and Analytics Leaders with Product School CEO, Carlos González de Villaumbrosia
Jul 14, 2020
042 - Why Machine Learning and Analytics Alone Can’t Drive Behavioral Change inside Police Departments with Allison Weil
Jun 30, 2020