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.
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.
Watch Conference Talks
Recent Articles by Brian
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
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
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
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
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
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
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
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
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