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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Recent Articles by Brian

Re: Your “Home Depot” Approach to AI/ML

By Brian T. O'Neill

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Better data visualization won’t convince me when to play ⚽️ again

By Brian T. O'Neill

Presenting data and evidence isn’t the same thing as providing indispensable decision support, especially when your insights are experienced in a software application with no Powerpoint deck, narrator, or intimate storytelling.

Designing for AI (UX, UI)

By Brian T. O'Neill

This is an ongoing list of links to articles, slide decks, toolkits, and other resources around designing AI user experiences.  I will keep this updated. 7 Steps to AI Products – Allie K. Miller (slide deck) UX in the Age of … Read more

(8) reasons why data visualization training for your BI team may not increase analytics adoption

By Brian T. O'Neill

Customers want simple, well-designed decision support tools and UX’s that are actionable. Businesses want to see value from data and adoption of data-driven decision making. However, the UX that is afforded to is often simply a byproduct of the analytics team’s engineering, or, at best, “data viz” efforts—and it’s not working. A decade later, success rates for data projects remain unchanged, despite vendor/BI tooling improvements. What are BI/analytics teams still missing? Design.

Humans – The Weak Link in your ML / AI Strategy?

By Brian T. O'Neill

In many cases, machine learning needs to be deployed to augment human decision making, not automate it. What are you doing to account for this dependency on the success of your data product?

My Too-White Data Podcast Looks ~Like This: 🧑‍🦲🧑‍🦲🧑‍🦲🧑‍🦲🧑‍🦲🧑‍🦲🧑‍🦲🧑‍🦲👩‍🦰👨🏾

By Brian T. O'Neill

Self-reflecting on #BLM, the makeup of my podcast guests to date, racism, and the responsibilities of consultants with platforms and audiences in fighting injustice.

A UI Design Audit of MITRE’s Covid-19 Decision Support Dashboard

By Brian T. O'Neill

I performed a rapid UI/UX and data visualization audit on the MITRE Covid-19 Healthcare Coalition Decision Support Dashboard. Watch it here, and see my recommended design changes the team should make.

$1M spent on a predictive model/data science w/ $0 value and no user engagement?

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How to avoid spending 6-8 months on a technically right, effectively wrong model. Are you successful with ML if nobody uses your solution, model, or application?

(6) Ways to Sanitize Your Data Product, Dashboard Visuals or Analytics due to Covid-19

By Brian T. O'Neill

Covid-19 presents a major disruption to our lives and businesses. However, sanitizing your hands isn’t the only thing you data leaders need to be considering. Your data product, dashboards, or UI may also need to be cleaned up. No hard-to-find Clorox wipes needed; just some good design thinking centered around your customers.

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