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Recent Articles by Brian

“Post-truth,” data analytics, and omissions–are these design considerations?

By Brian O'Neill

Post-truth. The 2016 word of the year. Yikes for some of us. This got me thinking about UX around data, analytics, and information, and what it means when we present conclusions or advice based on quantitative data. Are those “facts”? … Read more“Post-truth,” data analytics, and omissions–are these design considerations?

Think it’s hard building an analytics product or service? Try cutting features out.

By Brian O'Neill

Try cutting features out of it. Apparently, that whole quote from Michaelangelo about “I just carve away the part of the statue that doesn’t look like David” is a myth. But, it’s a good myth for design thinkers. It helps … Read moreThink it’s hard building an analytics product or service? Try cutting features out.

A Venture Capitalist’s Take on Designing Useful Big Data Products

By Brian O'Neill

I loved this quote: ”Identify 2-3 need-to-know insights, and make that the focus of the product. Rather than thinking about competing products, think about competing processes. The goal of the product is to be consistently used by all users, not just power users, and … Read moreA Venture Capitalist’s Take on Designing Useful Big Data Products

How can better design save your business $10,000 this week?

By Brian O'Neill

You can save $10,000 / week pretty easily through better design. One of the values that clients don’t always understand is that good design not only improves customer experience and drives revenue, but it also reduces time wasted on engineering … Read moreHow can better design save your business $10,000 this week?

Why the “V” in your MVP product/service may be totally wrong

By Brian O'Neill

I didn’t come up with this, but it is *so* spot-on.  There are (2) MVPs out there you can build for analytics services, IOT, SAAS data products, and the like:  Minimal Viable Products or Minimum Valuable Products. Which one do … Read moreWhy the “V” in your MVP product/service may be totally wrong

Designing an Effective Honeymoon Phase in Your Product (Part 1)

By Brian O'Neill

Let’s talk about honeymoons for a second. I don’t mean that trip to Cancun, but instead, those first couple weeks of product use where people are evaluating your service, and hoping to realize some of the values that drove them … Read moreDesigning an Effective Honeymoon Phase in Your Product (Part 1)

Designing an Effective Honeymoon Phase in Your Product (Part 2)

By Brian O'Neill

Let’s jump to part 2! Last week I mentioned that the free DFA Self-Assessment Guide introduces ideas for designing a honeymoon user experience and how to audit your own product’s success in this phase of the customer lifecycle. Here in part 2, … Read moreDesigning an Effective Honeymoon Phase in Your Product (Part 2)

Here are (5) dashboard design suggestions you can start to apply today

By Brian O'Neill

If you’re in the analytics space, then you almost certainly have at least one “dashboard” customers use.  I generally define dashboards as the landing page for your product when people log in, and so keep that in mind as you … Read moreHere are (5) dashboard design suggestions you can start to apply today

A Visual Introduction to Probability and Statistics

By Brian O'Neill

If you’re working on data or analytics products, then you’ll want to check this out whether it’s a refresher, or something to share with your team: Seeing Theory is a great visual introduction to probability and statistics from Brown University … Read moreA Visual Introduction to Probability and Statistics