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.
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Recent Articles by Brian
We’ve all heard about information overload, and the paradox of choice. Don’t you love those thai menus with every type of sauce, noodle, and protein, all written out as separate dishes? “I’ll have item D132 with no water chestnuts….no, I … Read more
When I work on products that primarily exist to display analytics information, I find most of them fall into roughly four different levels of design maturity: The best analytics-driven products give actionable recommendations or predictions written in prose telling a user what … Read more