Nobody Wants ML, AI, and Analytics.

They want a UX that provides indispensable decision support, useful insights, and actionable intelligence. 

My free resources below will help you learn how to use human-centered design to create innovative user experiences that turn technical outputs into valuable customer outcomes.

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Nancy Duarte Nancy Duarte
Principal @ Duarte
Author & TED Speaker

Additional Resources

Are customers not getting the value out of your data product, analytics SAAS, or decision support application?

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.

Want to learn how to design engaging data products your customers and stakeholders will use and value?

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

(4) Reasons reverse-engineering data into use cases for data products is costly and risky

By Brian T. O'Neill

On a lot of analytics-driven projects, I am told by my clients that there are many possible use cases or user stories that the design needs to support. Why so many? I think it stems from the fact that products and … Read more

Beware the dreaded “reporting section” in your analytics service

By Brian T. O'Neill

“That stuff probably belongs in the reporting section.” I’ve heard that one before. There’s probably a better approach. Remember: it’s not really about “analytics” — it’s about providing information to help your customers make better decisions. Shoveling your analytics into … Read more

What’s my #1 engineering bias to overcome when designing good analytics products?

By Brian T. O'Neill

I’ve worked with a lot of talented engineers in my 20+ years of designing websites and software. One of the things about analytics that can trip up some engineers: imperfect data, conclusions, and evidence. Analytics tools rarely provide exact answers, … Read more

“Post-truth,” data analytics, and omissions–are these design considerations?

By Brian T. O'Neill

Post-truth. The 2016 word of the year. Yikes for some of us. This got me thinking about UX around data, analytics, and information, and what it means when we present conclusions or advice based on quantitative data. Are those “facts”? … Read more

Does your data answer real customer questions, or the ones your data model supports?

By Brian T. O'Neill

I worked on a project with two sociologists from the Future of Music Coalition a couple years ago. They conducted the first large-scale formal survey on musicians’ revenue streams to help answer the question “how do working musicians make a … Read more

How can good design help you raise investment capital and increase monthly SAAS revenue?

By Brian T. O'Neill

At some point, you probably visited designingforanalytics.com if you’re on my mailing list, and you might have read a cast study about one of my startup clients, Apptopia.com. Apptopia hired me to help them turn a suffering marketplace business into a thriving … Read more

What can my teapot teach you about designing for analytics?

By Brian T. O'Neill

My teapot, or rather the water heater, helps me make great tea, based on the type of tea I want to drink. It also was a reminder for me about how good design means translating quantitative values into qualitative values … Read more

Want a Silver-quality analytics product? Use Agile. Want Gold? Read on.

By Brian T. O'Neill

Agile software development is everywhere. You’re probably using some form of it yourself. And, that’s probably good, assuming you’re actually delivering value with agility. These days, I constantly hear about how “shipping working code” sooner trumps everything else. When it comes … Read more

The #1 problem I see with clients trying to design good analytics products

By Brian T. O'Neill

When it comes to analytics products that need to show data to customers, one of the biggest misconceptions I see with clients is the believe that their trove of data is actually ​information, by default. Your data is not informative until … Read more