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

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 if you’re on my mailing list, and you might have read a cast study about one of my startup clients, 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

What’s wrong with the analytics in the NEST thermostat’s monthly report?

By Brian T. O'Neill

It’s homework time! Let’s talk about NEST (Thermostat) for a minute. In particular, their monthly report. I have a thermostat and hot water radiators in my house (no central air). Each month, the NEST device sends me a report of … Read more

Is your product producing automated insights/recommendations based on…fluff?

By Brian T. O'Neill

Ah, fluff. It’s a great word, and it was actually born in its marshmallow form just a mile away in Somerville, MA. There’s even a fluff festival. A few weeks ago, we talked about the various levels of maturity that an … Read more

Here’s one of the simplest ways to simplify complex analytics

By Brian T. O'Neill

This design “no-no” appears almost every time a new client [with a product that displays analytics] asks me to review their UI/UX. More often than not, I’m not provided with any relevant user tasks/usage contexts by which I can do my … Read more

What happens when you use templates for dashboards and analytics products?

By Brian T. O'Neill

I hear it all the time on Quora, in real life, and from clients: “What BI tool should we use to visualize our data? Is there a good dashboard template you know of?” When it comes to designing analytics products … Read more