Business and UX Strategy

You probably rock at building enterprise ML and analytics applications, software products, and dashboards-but if buyers, stakeholders, and users just aren’t seeing the value, your problem isn’t your tech. Similarly, the solution is not in your code, pipeline, model, or GitHub. However, there are tactics and strategies from UX design, product management, psychology, marketing and other fields that you can apply so your technical work has impact, creates delight, and generates value.

“Can you take a look at my UI and provide feedback?” It’s a common question I get. How do we judge a UI/UX design of an SAAS analytics tool? By understanding what the customer is trying to do and what a meaningful outcome looks like. What are the signs we’re on track? Learn more in this story from my time advising MIT Sandbox Venture Fund founders.

Most definitions of data product focus on trying to firmly define the boundaries of the technology output. My definition focuses on the benefits to the user and the innate requirement of value to be present.

If you’re running an internal enterprise data science or analytics team, and you can’t get the time of your stakeholders and business partners “to help you help them,” there’s probably a reason – or two – or three. These are some of the cold hard facts that maybe they won’t tell you–but maybe they are … Read more

The work of enterprise data science and analytics teams is often experienced in software—whether it be via custom apps, dashboards, or BI tools. As such, data teams are software teams—but many of them do not build solutions the way the best software product teams do. What can data leaders learn—and steal—from software teams who put … Read more

If there’s one thing I see a lot of in my work, it’s dashboards.  I don’t talk about dashboards a ton because a dashboard alone is neither a data product nor an experience. It is an output and artifact that is part of a user or stakeholder’s overall experience, typically in our case, in some decision making context. … Read more

Below are ten 2022 predictions for data product leaders and organizations trying to leverage ML and analytics in their software, tools, apps, and services. From the lens of a consulting product designer. Yea, you head that one right. If that PhD in physics, statistics, math or engineering in you is already making you cringe, you may depart this … Read more

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