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Recent Articles by Brian

(8) invisible design problems that are business problems

By Brian O'Neill

Today’s insight was originally inspired by a newsletter I read from Stephen Anderson on designing for comprehension, and I felt like this could be expanded on for analytics practitioners and people working on data products. One of the recurring themes … Read more(8) invisible design problems that are business problems

What internal analytics practitioners can learn from analytics “products” (like SAAS)

By Brian O'Neill

When I work on products that primarily exist to display analytics information, I find most of them fall into roughly four different levels of design maturity: The best analytics-driven products give actionable recommendations or predictions written in prose telling a user what … Read moreWhat internal analytics practitioners can learn from analytics “products” (like SAAS)

My reactions to the Chief Data Officer, Fall 2017 conference summary

By Brian O'Neill

I ran into a an article about the Chief Data & Analytics Officer, Fall conference that summarized some of the key takeaways at the previous year’s conference. One paragraph in the article stuck out to me: … The Great Dilemma – Product … Read moreMy reactions to the Chief Data Officer, Fall 2017 conference summary

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?