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PODCAST

Experiencing Data w/ Brian T. O’Neill

Brian T. O’Neill from Designing for Analytics

Does the value of your insights, analytics, or automated intelligence product sometimes feel invisible to buyers and users? Does your product have impressive analytics and AI technology, but user adoption and sales still are not where you want them to be? While it has never been easier to build data-driven products, why does it still seem so hard to build indispensable data products that users can"t live without—and will gladly pay for? I’m Brian T. O’Neill, and on Experiencing Data — a Listen Notes

technology management

All Episodes

31:43

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

Experiencing Data w/ Brian T. O’Neill ·

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 ·

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 ·

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 ·

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 ·

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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44:42

085 - Dr. William D. Báez on the Journey and ROI of...

Experiencing Data w/ Brian T. O’Neill ·

2022/02/22

Why design matters in data products is a question that, at first glance, may not be easily answered for some until they see users try to use ML models and analytics to make decisions. For Bill Báez, a data scientist and VP of Strategy at Ascend Innovations, realizing that design and UX matters in this context was a realization that grew over the course of a few years. Bill’s origins in the Air Force, and his transition to Ascend Innovations, instilled lessons about the importance of using design

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39:56

084 - The Messy Truth of Designing and Building a...

Experiencing Data w/ Brian T. O’Neill ·

2022/02/08

Building a SAAS business that focuses on building a research tool, more than building a data product, is how Jonathan Kay, CEO and Co-Founder of Apptopia frames his company’s work. Jonathan and I worked together when Apptopia pivoted from its prior business into a mobile intelligence platform for brands. Part of the reason I wanted to have Jonathan talk to you all is because I knew that he would strip away all the easy-to-see shine and varnish from their success and get really candid about what

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33:08

083 -Why Bob Goodman Thinks Product Management and...

Experiencing Data w/ Brian T. O’Neill ·

2022/01/25

Design takes many forms and shapes. It is an art, a science, and a method for problem solving. For Bob Goodman, a product management and design executive, the way to view design is as a story and a narrative that conveys the solution to the customer. As a former journalist with 20 years of experience in consumer and enterprise software, Bob has a unique perspective on enabling end-user decision making with data. Having worked in both product management and UX, Bob shapes the narrative on

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37:55

082 - What the 2021 $1M Squirrel AI Award Winner...

Experiencing Data w/ Brian T. O’Neill ·

2022/01/11

Episode Description As the conversation around AI continues, Professor Cynthia Rudin, Computer Scientist and Director at the Prediction Analysis Lab at Duke University, is here to discuss interpretable machine learning and her incredible work in this complex and evolving field. To begin, she is the most recent (2021) recipient of the $1M Squirrel AI Award for her work on making machine learning more interpretable to users and ultimately more beneficial to humanity. In this episode, we explore the

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36:45

081 - The Cultural and $ Benefits of Human-Centered...

Experiencing Data w/ Brian T. O’Neill ·

2021/12/28

Episode Description The relationship between humans and artificial intelligence has been an intricate topic of conversation across many industries. François Candelon, Global Director at Boston Consulting Group Henderson Institute, has been a significant contributor to that conversation, most notably through an annual research initiative that BCG and MIT Sloan Management Review have been conducting about AI in the enterprise. In this episode, we’re digging particularly into the findings of the 2020

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46:00

080 – How to Measure the Impact of Data Products…and...

Experiencing Data w/ Brian T. O’Neill ·

2021/12/14

Finding it hard to know the value of your data products on the business or your end users? Do you struggle to understand the impact your data science, analytics, or product team is having on the people they serve? Many times, the challenge comes down to figuring out WHAT to measure, and HOW. Clients, users, and customers often don’t even know what the right success or progress metrics are, let alone how to quantify them. Learning how to measure what might seem impossible is a highly valuable skill

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36:02

079 - How Sisu’s CPO, Berit Hoffmann, Is Approaching...

Experiencing Data w/ Brian T. O’Neill ·

2021/11/30

Berit Hoffmann, Chief Product Officer at Sisu, tackles design from a customer-centric perspective with a focus on finding problems at their source and enabling decision making. However, she had to learn some lessons the hard way along the road, and in this episode, we dig into those experiences and what she’s now doing differently in her current role as a CPO. In particular, Berit reflects on her “ivory tower design” experience at a past startup called Bebop. In that time, she quickly realized the

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40:46

078 - From Data to Product: What is Data Product...

Experiencing Data w/ Brian T. O’Neill ·

2021/11/16

Eric Weber, Head of Data Product at Yelp, has spent his career developing a product-minded approach to producing data-driven solutions that actually deliver value. For Eric, developing a data product mindset is still quite new and today, we’re digging into all things “data product management” and why thinking of data with a product mindset matters. In our conversation, Eric defines what data products are and explains the value that data product managers can bring to their companies. Eric’s own ethos

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42:35

077 - Productizing Analytics for Performing Arts...

Experiencing Data w/ Brian T. O’Neill ·

2021/11/02

Even in the performing arts world, data and analytics is serving a purpose. Jordan Gross Richmond is the Chief Product Officer at AMS Analytics, where they provide benchmarking and performance reporting to performing arts organizations. As many of you know, I’m also a musician who tours and performs in the performing arts market and so I was curious to hear how data plays a role “off the stage” within these organizations. In particular, I wanted to know how Jordan designed the interfaces for AMS

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43:38

076 - How Bedrock’s “Data by Design” Mantra Helps...

Experiencing Data w/ Brian T. O’Neill ·

2021/10/19

Why do we need or care about design in the work of data science? Jesús Templado, Managing Director at Bedrock, is here to tell us about how Bedrock executes their mantra, “data by design.” Bedrock has found ways to bring to their clients a design-driven, human-centered approach by utilizing a “hybrid model” to synthesize technical possibilities with human needs. In this episode, we explore Bedrock’s vision for how to achieve this synthesis as part of the firm’s DNA, and how Bedrock adopted their

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42:11

075 - How CDW is Integrating Design Into Its Data...

Experiencing Data w/ Brian T. O’Neill ·

2021/10/05

How do we get the most breadth out of design and designers when building data products? One way is to have designers be at the front leading the charge when it comes to creating data products that must be useful, usable, and valuable. For this episode Prasad Vadlamani, CDW’s Director of Data Science and Advanced Analytics, joins us for a chat about how they are making design a larger focus of how they create useful, usable data products. Prasad talks about the importance of making

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44:32

074 - Why a Former Microsoft ML/AI Researcher Turned...

Experiencing Data w/ Brian T. O’Neill ·

2021/09/21

Episode Description The challenges of design and AI are exciting ones to face. The key to being successful in that space lies in many places, but one of the most important is instituting the right design language. For Abhay Agarwal, Founder of Polytopal, when he began to think about design during his time at Microsoft working on systems to help the visually impared, he realized the necessity of a design language for AI. Stepping away from that experience, he leaned into how to create a new

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37:41

073 - Addressing the Functional and Emotional Needs...

Experiencing Data w/ Brian T. O’Neill ·

2021/09/07

Episode Description Simply put, data products help users make better decisions and solve problems with information. But how effective can data products be if designers don’t take the time to explore the complete needs of users? To Param Venkataraman, Chief Design Officer at Fractal Analytics, having an understanding of the “human dimension” of a problem is crucial to creating data solutions that create impact. On this episode of Experiencing Data, Param and I talk more about his concept of

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38:49

072 - How to Get Stakeholders to Reveal What They...

Experiencing Data w/ Brian T. O’Neill ·

2021/08/24

Episode Description How do you extract the real, unarticulated needs from a stakeholder or user who comes to you asking for AI, a specific app feature, or a dashboard? On this episode of Experiencing Data, Cindy Dishmey Montgomery, Head of Data Strategy for Global Real Assets at Morgan Stanley, was gracious enough to let me put her on the spot and simulate a conversation between a data product leader and customer. I played the customer, and she did a great job helping me think differently about

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45:30

071 - The ROI of UX Research and How It Applies to...

Experiencing Data w/ Brian T. O’Neill ·

2021/08/10

There are many benefits in talking with end users and stakeholders about their needs and pain points before designing a data product. Just take it from Bill Albert, executive director of the Bentley University User Experience Center, author of Measuring the User Experience, and my guest for this week’s episode of Experiencing Data. With a career spanning more than 20 years in user experience research, design, and strategy, Bill has some great insights on how UX research is pivotal to designing a

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153 results

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