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 me remember that you can add customer value by removing materials from a design. We talk a … Read moreThink it’s hard building an analytics product or service? Try cutting features out.
“Marketing analytics can have substantial impact on a company’s growth. But if companies cannot figure out how to make the best use of it, in the end, it’s just another expense.”–McKinsey As most of you know by now, I’m particularly interested in helping companies create indispensable data and analytics products–you know, the kind that actually … Read moreDo you need an “analytics translator” or just better design?
Ok, you probably know this one, but let’s dig in a little farther. I recently started to explore using the TORBrowser when surfing on public wi-fi for more security (later finding out that using a VPN, and not TOR, is what will enable safer surfing). However, in the process of downloading and trying the TORBrowser … Read moreWhat’s the #1 way you can simplify your service?
On a lot of analytics-driven projects, I am told by my clients that there are many possible use cases or user stories that the design needs to support. Why so many? I think it stems from the fact that products and companies are collecting more and more data, and so the logical assumption is that there … Read moreHow deriving use cases from your data/analytics may be costing your company $?
“That stuff probably belongs in the reporting section.” I’ve heard that one before. There’s probably a better approach. Remember: it’s not really about “analytics” — it’s about providing information to help your customers make better decisions. Shoveling your analytics into the “reporting section” can easily become a dumping ground for “stuff that might be useful” … Read moreBeware the dreaded “reporting section” in your analytics service
I’ve worked with a lot of talented engineers in my 20+ years of designing websites and software. One of the things about analytics that can trip up some engineers: imperfect data, conclusions, and evidence. Analytics tools rarely provide exact answers, but this doesn’t mean there isn’t value to your customers. If your data, analytics, or … Read moreWhat’s my #1 engineering bias to overcome when designing good analytics products?
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?
We’ve all heard about information overload, and the paradox of choice. Don’t you love those thai menus with every type of sauce, noodle, and protein, all written out as separate dishes? “I’ll have item D132 with no water chestnuts….no, I mean the one with chicken on page 12….yeah, that one.” There’s a ton of data … Read moreMaybe your product’s problem is information *underload*