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Recent Articles by Brian

How can you possibly design your service effectively without these?

By Brian O'Neill

I’m working with a large, household-name technology company right now on a large project, and they struggle with one of the same things so many of my clients struggle with. Today’s topic is articulating use cases and goals in an … Read moreHow can you possibly design your service effectively without these?

Reader questions answered: “what are your top concerns designing for analytics?”

By Brian O'Neill

Today I want to respond to a reader who answered a previous email I sent you all about your top concerns designing for analytics. Here’s Évans’ email: +++++ In analytics, it’s not like a CRUD [Create-Read-Update-Delete] with a simple wizard-like workflow (Input … Read moreReader questions answered: “what are your top concerns designing for analytics?”

UI Review: Next Big Sound (Music Analytics) – Part 1

By Brian O'Neill

Today I got an interesting anomaly email from a service I use called Next Big Sound. Actually, I don’t use the service too much, but it crosses two of my interests: music and analytics. Next Big Sound aggregates music playback … Read moreUI Review: Next Big Sound (Music Analytics) – Part 1

Getting confidence in the value of your data

By Brian O'Neill

(As shown to customers in your UI) I’m talking to a prospective SAAS client right now, and they’re trying to expose some analytics on their customers’ data so that the customers can derive ROI from the SAAS on their own. … Read moreGetting confidence in the value of your data

Tips to help focus your analytics design/engineering efforts on results

By Brian O'Neill

If you are starting out on a new feature design, or analytics effort, can you clearly state what the value will be in quantifiable terms at the end of the sprint? Are you building an “exploratory” UI, or one that … Read moreTips to help focus your analytics design/engineering efforts on results

“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?