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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Recent Articles by Brian
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
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