Author’s Note: This article was originally published to my mailing list, hence the reference to previous emails and published podcast episodes. Before I jump into this week’s article on MVPs for custom data products, just wanted to address one listener’s response to the new podcast in case others had the same experience. Re: the audio … Read moreDesigning MVPs for Data Products and Decision Support Tools
This is recording of my presentation at the O’Reilly Strata Data Conference in New York City in 2018. Gartner says 85%+ of big data projects will fail, despite the fact your company may have invested millions on engineering implementation. Why are customers and employees not engaging with these products and services? Brian O’Neill explains why a … Read moreVideo Sample: 2018 O’Reilly Strata Conference (NYC)
I am guessing if you’re reading this, it’s because there’s room for your analytics service or data product to get better, and maybe you know that simply adding more data sources, algorithms, bug fixes, or [insert today’s hype cycle tech], isn’t necessarily all there is to making it better. Like some of my clients, you … Read moreThe difference between design and Design
Should maximum simplicity dictate success? We all love usability these days right? “User experience is important.” Of course it is! But, it doesn’t mean that every user you show the design to is going to, or should immediately be able to, understand fully what you’re showing them. Why? Most valuable things in life take a … Read moreDashboard Design: Is Maximum Simplicity the Goal?
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 effective manner that allows your design and development to proceed with clarity and accountability. If … Read moreHow can you possibly design your service effectively without these?
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 – Validate – Save). It’s kinda hard to keep the user focused when there are … Read moreReader questions answered: “what are your top concerns designing for analytics?”
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 data from various music providers (Spotify, Pandora, etc) and also, apparently, tries to correlate changes … Read moreUI Review: Next Big Sound (Music Analytics) – Part 1
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”? If your product generates actionable information for customers, then during your design phase, your team … Read more“Post-truth,” data analytics, and omissions–are these design considerations?
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 the wrong product/feature/design. My solution to this is to get design involved ahead of engineering … Read moreHow can better design save your business $10,000 this week?
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 to become your customer in the first place. Some people call this “onboarding,” but I … Read moreDesigning an Effective Honeymoon Phase in Your Product (Part 1)