This is it: the final question. And it’s a doozy. With all the talk of A/B tests in the UX community, it’s funny that you never hear about their more sophisticated cousin very often. So today we answer:
“What the hell is a multivariate test?”
The idea of designing with data can seem like an oxymoron. Design is creative. Data isn’t. Right? No! In UX you need to collect data so you can watch trends and behaviour. Which brings us to today’s question:
“We just got analytics. What do I measure?”
Did you know that when you do an A/B test there is a point when it becomes “reliable enough”? And did you know that stopping the test before it gets to that point might give you misleading results?
My New Year’s Resolution for 2014 was to get more people started in User Experience (UX) Design. I posted one lesson every day in January, and hundreds of thousands of people came to learn! Below you will find links to all 31 daily lessons.
If you’re planning to analyze websites, it’s only a matter of time before you’re thrown into Google Analytics and asked to look at the health of your site. UX designers do this differently than marketers, so today we will learn about the basics:
Designing with Data — Summary Statistics
Now that you have learned to research users, set goals, plan information architecture, direct the users’ attention, make good wireframes, and understand the mind of a user, it’s time to launch! And launching means we have something to measure, so we need to know:
What is Data?
UX is a process, and these lessons roughly follow that process, but there are 5 things you should always keep in mind, throughout the process:
The 5 Main Ingredients of UX:
Psychology, Usability, Design, Copywriting & Analysis.
If you are a digital professional of any kind, it is only a matter of time before you’re in a meeting and somebody says, “Our goal in this project is to increase [any statistic] by 25%.” When that happens, stop everything and start talking about a new goal.
