Business and UX Strategy

Is there a faster way than MVPs to create data products that actually get used, are simple, and are trustworthy?

Satisfying internal vs. external customers is not the same. What do data science, analytics, and engineering leaders need to know about the messy world of birthing a new commercial data-driven product?

As a designer, I used to say “user-centered”—a lot. It’s terminology we now hear from non-designers now, people like many of you. That’s a good thing. But, I want you and your teams to think bigger. For me, that “user-centered” descriptor is missing something about design, and particularly so if you are working on ML/AI systems. … Read more

If you’re struggling to solve human problems with data, the mindset of your analytics org may be the problem.

Ok, let’s dive into another reader question. This time from Loris via LinkedIn originally: Hi Brian, I hope you are well and don’t mind me reaching out directly. Human-centered design resonates with me and my experience with data so far. You have been an inspiration for me over the past few months – thank you! … Read more

Is it time to stop using dashboards in analytics solutions and data product design?

Are you a leader in charge of creating innovative ML and analytics solutions within a very large enterprise organization? Getting the “makers” of the solutions talking to real end-users can be extremely difficult. Here’s how to navigate the gatekeepers and bureaucracy so that the data products you spend so much time and money building actually are useful, usable, and valuable.

I’m not putting out a long list of 2021 predictions, but I have a couple that I will mention to you that are on my radar. First, AI/Data Product Management Seems to be Picking Up There seem to be more jobs appearing in product management in the AI/ML space, in particular. I am not sure why we don’t … Read more

Data science, analytics, and engineering are in-demand skills, however, when building customer-facing applications and data-driven products, organizations rely on innovation to unlock the power of this data. How can analytical minds practice creativity that leads to innovative solutions?