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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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.
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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
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
“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
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. 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
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