Increase the adoption of your enterprise ML and analytics.

Product strategy and UI/UX design for enterprise data product leaders.

Do your machine learning and analytics make people go like this when they see the UI/UX?


Do you wish the typical reaction from your stakeholders and users looked a lot more like this?


Do these data product challenges sound familiar?

  • Low user adoption of your dashboards, apps despite providing what was asked for
  • Users don't trust your machine learning models or use them
  • You get vague mandates or requests to "use AI," but no clear business problem to solve
  • You're team is good at the analytics, ML, and engineering but customers don't see the value and utility
  • Your solution is hard to sell, hard to use, requires explanation or has a UI that just looks hard.
  • You want to be an innovation partner...but your team is mostly making data widgets?

Brian O'Neill by Liza VollIf these are familiar challenges, here's the good news:

You don't have to be a professional designer to learn how to create more useful and usable ML and analytics experiences your users—and stakeholders—will love.

My name is Brian T. O'Neill, and I help data product leaders use design-driven innovation to improve the UX of their ML and analytics applications.

Here's the thing: all of your data products already have a UX, whether you had one in mind or not.

The difference is in the intent: is your UX a byproduct of all the technical work to date? Or an engineering prototype with some "UI and data viz" that was added towards the end? Or was it something you shaped intentionally, with human-centered design, throughout?

I want to teach you just enough about design so that your data products become indispensable to users and your business goals are realized.

Ready to learn how?

Start by joining my free Insights mailing list, and subscribing to my podcast, Experiencing Data. Additional resources are here.

Need personalized help?

Learn how to work with me.

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Good design & UX brings results to data products, dashboards, intelligent enterprise software.

Analytics, AI, ML, cloud, IOT, data lakes–the buzz words are endless.

Users don't care about your tech.

Your data product, ML application, or service is delivering a user experience whether you intentionally designed it or not.  Getting the "human-in-the-loop" part right is critical to:

Drive adoption.

Increase value.

Improve usability.

Build trust.

Brian O'Neill by Liza Voll

Need 1-on-1 help?

I am a consultant, trainer, and speaker. You can learn how to Work With Me here.

And because it looks nice above the footer, I now present to you (cue: 🥁-roll): my "logo wall" showing a bunch of the clients I have worked with over the years:

TripadvisorDell EMCAccenture
AbbvieNew York Life InsuranceMeYouHealthRocheCovid 19 Healthcare CoalitionDataxu