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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Learn my C-E-D UX Framework for Designing Analytics & ML Apps

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

Learn my PiCAA Framework for Envisioning AI Use Cases

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.

Free Course Sample from Designing Human-Centered Data Products

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

Does an analytical mind block your innovation and creativity?

By Brian T. O'Neill

Data science, analytics, and engineering are in-demand skills, however, when building customer-facing applications and data-driven products, organizations rely on innovation to unlock the power of this data. How can analytical minds practice creativity that leads to innovative solutions?

What’s Wrong with Spotify’s Analytics Emails (a Design/UI/UX Audit)

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Today, I’m sharing my impressions of one of Spotify’s analytics touchpoints—a monthly email I receive with a boatload of design choices I mostly hope you will not copy, especially if you’re working in an enterprise capacity. Most of you by now probably know … Read more

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

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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)

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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

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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?

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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?

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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.

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