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PODCAST

Experiencing Data w/ Brian T. O’Neill (AI & data product management leadership—powered by UX design)

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”

technology management

All Episodes

41:53

105 - Defining “Data Product” the Producty Way and...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/11/29

Today I’m discussing something we’ve been talking about a lot on the podcast recently - the definition of a “data product.” While my definition is still a work in progress, I think it’s worth putting out into the world at this point to get more feedback. In addition to sharing my definition of data products (as defined the “producty way”), on today’s episode definition, I also discuss some of the non-technical skills that data product managers (DPMs) in the ML and AI space need if they want to

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44:12

104 - Surfacing the Unarticulated Needs of Users and...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/11/15

Today I’m chatting with Indi Young, independent qualitative data scientist and author of Time to Listen. Indi explains how it is possible to gather and analyze qualitative data in a way that is meaningful to the desired future state of your users, and that learning how to listen and not just interview users is much like learning to ride a bicycle. Listen (!) to find out why pushing back is a necessary part of the design research process, how to build an internal sensor that allows you to truly

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42:33

103 - Helping Pediatric Cardiac Surgeons Make Better...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/11/01

Today I’m chatting with Eugenio Zuccarelli, Research Scientist at MIT Media Lab and Manager of Data Science at CVS. Eugenio explains how he has created multiple algorithms designed to help shape decisions made in life or death situations, such as pediatric cardiac surgery and during the COVID-19 pandemic. Eugenio shared the lessons he’s learned on how to build trust in data when the stakes are life and death. Listen and learn how culture can affect adoption of decision support and ML tools, the

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35:05

102 - CDO Spotlight: The Non-Technical Roles Data...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/10/18

Today I’m chatting with Iván Herrero Bartolomé, Chief Data Officer at Grupo Intercorp. Iván describes how he was prompted to write his new article in CDO Magazine, “CDOs, Let’s Get Out of Our Comfort Zone” as he recognized the importance of driving cultural change within organizations in order to optimize the use of data. Listen in to find out how Iván is leveraging the role of the analytics translator to drive this cultural shift, as well as the challenges and benefits he sees data leaders

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39:11

101 - Insights on Framing IOT Solutions as Data...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/10/04

Today I’m chatting with Katy Pusch, Senior Director of Product and Integration for Cox2M. Katy describes the lessons she’s learned around making sure that the “juice is always worth the squeeze” for new users to adopt data solutions into their workflow. She also explains the methodologies she’d recommend to data & analytics professionals to ensure their IOT and data products are widely adopted. Listen in to find out why this former analyst turned data product leader feels it’s crucial to focus on

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45:08

100 - Why Your Data, AI, Product & Business...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/09/20

Today I’m chatting with Vin Vashishta, Founder of V Squared. Vin believes that with methodical strategic planning, companies can prepare for continuous transformation by removing the silos that exist between leadership, data, AI, and product teams. How can these barriers be overcome, and what is the impact of doing so? Vin answers those questions and more, explaining why process disruption is necessary for long-term success and gives real-world examples of companies who are adopting these

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48:28

099 - Don’t Boil the Ocean: How to Generate Business...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/09/06

Today I’m sitting down with Jon Cooke, founder and CTO of Dataception, to learn his definition of a data product and his views on generating business value with your data products. In our conversation, Jon explains his philosophy on data products and where design and UX fit in. We also review his conceptual model for data products (which he calls the data product pyramid), and discuss how together, these concepts allow teams to ship working solutions faster that actually produce

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39:41

098 - Why Emilie Schario Wants You to Run Your Data...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/08/23

Today I’m chatting with Emilie Shario, a Data Strategist in Residence at Amplify Partners. Emilie thinks data teams should operate like product teams. But what led her to that conclusion, and how has she put the idea into practice? Emilie answers those questions and more, delving into what kind of pushback and hiccups someone can expect when switching from being data-driven to product-driven and sharing advice for data scientists and analytics leaders. Highlights / Skip to: Answering the

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35:22

097 - Why Regions Bank’s CDAO, Manav Misra,...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/08/09

Today, I chat with Manav Misra, Chief Data and Analytics Officer at Regions Bank. I begin by asking Manav what it was like to come in and implement a user-focused mentality at Regions, driven by his experience in the software industry. Manav details his approach, which included developing a new data product partner role and using effective communication to gradually gain trust and cooperation from all the players on his team. Manav then talks about how, over time, he solidified a formal framework

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37:36

096 - Why Chad Sanderson, Head of Product for...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/07/26

Today I chat with Chad Sanderson, Head of Product for Convoy’s data platform. I begin by having Chad explain why he calls himself a “data UX champion” and what inspired his interest in UX. Coming from a non-UX background, Chad explains how he came to develop a strategy for addressing the UX pain points at Convoy—a digital freight network. They “use technology to make freight more efficient, reducing costs for some of the nation’s largest brands, increasing earnings for carriers, and eliminating

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16:50

095 - Increasing Adoption of Data Products Through...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/07/12

Today I am bringing you a recording of a live interview I did at the TDWI Munich conference for data leaders, and this episode is a bit unique as I’m in the “guest” seat being interviewed by the VP of TDWI Europe, Christoph Kreutz. Christoph wanted me to explain the new workshop I was giving later that day, which focuses on helping leaders increase user adoption of data products through design. In our chat, I explained the three main areas I pulled out of my full 4-week seminar to create this new

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46:02

094 - The Multi-Million Dollar Impact of Data Product...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/06/28

Today I sit down with Vijay Yadav, head of the data science team at Merck Manufacturing Division. Vijay begins by relating his own path to adopting a data product and UX-driven approach to applied data science, andour chat quickly turns to the ever-present challenge of user adoption. Vijay discusses his process of designing data products with customers, as well as the impact that building user trust has on delivering business value. We go on to talk about what metrics can be used to quantify

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47:16

093 - Why Agile Alone Won’t Increase Adoption of Your...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/06/14

Episode Description In one of my past memos to my list subscribers, I addressed some questions about agile and data products. Today, I expound on each of these and share some observations from my consulting work. In some enterprise orgs, mostly outside of the software industry, agile is still new and perceived as a panacea. In reality, it can just become a factory for shipping features and outputs faster–with positive outcomes and business value being mostly absent. To increase the adoption of

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34:46

092 - How to measure data product value from a UX and...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/05/31

Today I’m talking about how to measure data product value from a user experience and business lens, and where leaders sometimes get it wrong. Today’s first question was asked at my recent talk at the Data Summit conference where an attendee asked how UX design fits into agile data product development. Additionally, I recently had a subscriber to my Insights mailing list ask about how to measure adoption, utilization, and satisfaction of data products. So, we’ll jump into that juicy topic as

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31:24

091 - How Brazil’s Biggest Fiber Company, Oi,...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/05/17

Today I talked with João Critis from Oi. Oi is a Brazilian telecommunications company that is a pioneer in convergent broadband services, pay TV, and local and long-distance voice transmission. They operate the largest fiber optics network in Brazil which reaches remote areas to promote digital inclusion of the population. João manages a design team at Oi that is responsible for the front end of data products including dashboards, reports, and all things data visualization. We begin by discussing

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31:43

090 - Michelle Carney’s Mission With MLUX: Bringing...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/05/03

Michelle Carney began her career in the worlds of neuroscience and machine learning where she worked on the original Python Notebooks. As she fine-tuned ML models and started to notice discrepancies in the human experience of using these models, her interest turned towards UX. Michelle discusses how her work today as a UX researcher at Google impacts her work with teams leveraging ML in their applications. She explains how her interest in the crossover of ML and UX led her to start MLUX, a

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48:16

089 - Reader Questions Answered about Dashboard UX...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/04/19

Dashboards are at the forefront of today’s episode, and so I will be responding to some reader questions who wrote in to one of my weekly mailing list missives about this topic. I’ve not talked much about dashboards despite their frequent appearance in data product UIs, and in this episode, I’ll explain why. Here are some of the key points and the original questions asked in this episode: My introduction to dashboards (00:00) Some overall thoughts on dashboards (02:50) What the risk is to the user

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42:26

088 - Doing UX Research for Data Products and The...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/04/05

Mike Oren, Head of Design Research at Klaviyo, joins today’s episode to discuss how we do UX research for data products—and why qualitative research matters. Mike and I recently met in Lou Rosenfeld’s Quant vs. Qual group, which is for people interested in both qualitative and quantitative methods for conducting user research. Mike goes into the details on how Klaviyo and his teams are identifying what customers need through research, how they use data to get to that point, what data scientists and

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37:36

087 - How Data Product Management and UX Integrate...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/03/22

For Danielle Crop, the Chief Data Officer of Albertsons, to draw distinctions between “digital” and “data” only limits the ability of an organization to create useful products. One of the reasons I asked Danielle on the show is due to her background as a CDO and former SVP of digital at AMEX, where she also managed product and design groups. My theory is that data leaders who have been exposed to the worlds of software product and UX design are prone to approach their data product work differently,

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27:57

086 - CED: My UX Framework for Designing Analytics...

Experiencing Data w/ Brian T. O’Neill (AI & data... ·

2022/03/08

Today, I’m flying solo in order to introduce you to CED: my three-part UX framework for designing your ML / predictive / prescriptive analytics UI around trust, engagement, and indispensability. Why this, why now? I have had several people tell me that this has been incredibly helpful to them in designing useful, usable analytics tools and decision support applications. I have written about the CED framework before at the following link: https://designingforanalytics.com/ced There you will

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148 results

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