User testing is a critical component of the product development process. You need your users’ feedback to shape your EdTech offering in a way that meets their needs and creates an enjoyable user experience. But when it comes to following the best practices of effective UX testing, not just any users will do. The reliability of your tests depends on your ability to recruit the right mix of users at the right time.
When product teams put together budgets for new products or product releases, they often struggle to determine how much money to allocate for UX research and testing. This confusion flows from uncertainty about how to view UX’s role in the product development process. Is UX a one-time project with precise parameters and a predictable scope, like designing a logo? Or is it an ongoing program of activities that ought to be woven through the entire development process?
As EdTech products grow more complex in terms of the data they manage and the analytics they produce, data visualization is poised to become an indispensable tool. To date, many of these products have yet to fully embrace data visualization design in their product interfaces. As the expectations of students, instructors and administrators grow, it will almost certainly be considered a baseline requirement soon.
When you’re observing users in the wild, one thing’s for sure – there’s a lot going on. To help you capture key insights, observations and ideas on-the-fly, we’ve created this worksheet you can download and print to make sure you don’t miss any important details when you’re in the field.
Chances are, your product team already pours ample resources into making your products as user-friendly as possible. You work hard to get the user flows and UI elements just right. But what about the verbal components of the interface?
If you’re like many EdTech companies, microcopy — or the many verbal cues found throughout your product, from buttons to prompts and instructive overlays — may be a last-minute consideration. This often means that microcopy is written on the fly, without rigorous guidelines or user testing.
