Nobody Wants ML, AI, and Analytics.

Customers and users want a UX that provides indispensable decision support, useful insights, and actionable intelligence—their way. 

Before business value can emerge from your data product, there must be adoption, trust, usabilty and utility. 

This is the domain of human-centered design.

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Nancy Duarte Nancy Duarte
Principal @ Duarte
Author & TED Speaker

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A 3-part UX design framework for designing advanced decision support applications and tools specifically designed for data product leaders.

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A 5-part method to generate ML/AI use cases from a UX perspective.

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My free self-assessment guide covers 9 key topics to help you make your service indispensable. Each day, for 9 days, you will also get an email lesson that goes deeper into the topic and provides recommendations on how to start taking action.

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My self-guided video course—Designing Human-Centered Data Products—can help you learn the creative problem solving skills that data-driven software leaders need to produce useful, usable applications and solutions. Download the first module's video and written supplement, free.

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Recent Articles by Brian

The Definition of Data Product

By Brian T. O'Neill

Most definitions of data product focus on trying to firmly define the boundaries of the technology output. My definition focuses on the benefits to the user and the innate requirement of value to be present.

15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) 

By Brian T. O'Neill

You probably rock at building enterprise ML and analytics applications, software products, and dashboards-but if buyers, stakeholders, and users just aren’t seeing the value, your problem isn’t your tech. Similarly, the solution is not in your code, pipeline, model, or GitHub. However, there are tactics and strategies from UX design, product management, psychology, marketing and other fields that you can apply so your technical work has impact, creates delight, and generates value.

What was wrong with this founder’s SAAS Analytics UI?

By Brian T. O'Neill

“Can you take a look at my UI and provide feedback?” It’s a common question I get. How do we judge a UI/UX design of an SAAS analytics tool? By understanding what the customer is trying to do and what a meaningful outcome looks like. What are the signs we’re on track? Learn more in this story from my time advising MIT Sandbox Venture Fund founders.

10 reasons your customers/stakeholders don’t make time for your data science and analytics initiatives

By Brian T. O'Neill

If you’re running an internal enterprise data science or analytics team, and you can’t get the time of your stakeholders and business partners “to help you help them,” there’s probably a reason – or two – or three. These are … Read more

How Adopting a Product Mindset Can Improve the UX and ROI of Your Data Science and Analytics Work

By Brian T. O'Neill

The work of enterprise data science and analytics teams is often experienced in software-whether it be via custom apps, dashboards, or BI tools. As such, data teams are software teams-but many of them do not build solutions the way the … Read more

Why you need to stop saying yes when they ask, “can you build us a dashboard that shows this data?”

By Brian T. O'Neill

If there’s one thing I see a lot of in my work, it’s dashboards.  I don’t talk about dashboards a ton because a dashboard alone is neither a data product nor an experience. It is an output and artifact that is part of … Read more

My Top 10 Predictions for Data Product Leaders in 2022

By Brian T. O'Neill

Below are ten 2022 predictions for data product leaders and organizations trying to leverage ML and analytics in their software, tools, apps, and services. From the lens of a consulting product designer. Yea, you head that one right. If that PhD in … Read more

Top 10 Experiencing Data Podcast Episodes for 2021

By Brian T. O'Neill

Everybody loves a Top 10 list at the end of the year! How about one with pretty lousy data to back it up? 😉 Analytics on analytics here ladies and gentlemen! Since I know this audience will probably be asking … Read more

Data as Product: Links to Talks and Articles on Building Data Products

By Brian T. O'Neill

A link list of articles and resources on building data products, and particularly the mind shift involved in approaching data products as just that: products, not projects. Is something missing here? Shoot me an email and let me know. From … Read more

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