Archive for the 'A/B Tests' topic

Lean UX: Forming & Testing Hypotheses

Join us for our next Virtual Seminar, Lean UX Forming Testing Hypotheses.  Its happening Thursday, April 3.  It’s easy to talk about features. Fun, even. But easy and fun doesn’t always translate to functional, profitable, or sustainable. That’s where Lean UX comes in—it reframes a typical design process from one driven by deliverables to one driven by […]

Agenda Amplifiers

Recently, I was in a meeting where a designer was showing off an analytics chart featuring their site’s bounce rate. “See how the bounce rate is 96%,” the designer told the audience. “People are coming to the site, getting bored with the content, and leaving immediately. We need to redesign the page to make it […]

KPIs are Metrics, but Not All Metrics are KPIs

Thanks to Marco Dini for translating this post to Italian. “What are some good KPIs I should use to measure our UX?” This is a question that comes in quite frequently and, at its heart, it shows that they are confused about what a KPI is. A KPI is a Key Performance Indicator. It’s a […]

Visitors Are Not All The Same – Moving Beyond Conversion Rates, Part 3

Moving Beyond Conversion Rates: You can read this in Italian thanks to Marco Dini. Part 1: Avoid Ratios for Metrics Part 2: Not All Visitors Make Great Customers Part 3: Visitors Are Not All The Same (this) Part 4: Campaigns Are Where Conversion Rates Shine Part 5: Measuring Money Left On The Table The electronics […]

Not All Visitors Make Great Customers – Moving Beyond Conversion Rates, Part 2

Moving Beyond Conversion Rates: Part 1: Avoid Ratios for Metrics Part 2: Not All Visitors Make Great Customers (this) Part 3: Visitors Are Not All The Same Part 4: Campaigns Are Where Conversion Rates Shine Part 5: Measuring Money Left On The Table A few years back, the executives at the electronics retailer Best Buy […]

Do A/B Tests Focus Us On The Wrong Problems?

Last week, I attended a conference presentation where a team presented findings from their A/B Testing efforts. It was a cute presentation where they posted the control and test variants, then asked the audience to pick which one “won” the A/B test. They compared the audience answer to the variant that demonstrated the best increase […]