Here are the 5 top things to tick off before launching a remote card sort.
Card sorting is a research technique that can show you how people understand and categorize information.
Let’s take a look at 5 common IA traps we’ve all fallen into, how they happen and how to avoid them.
The latest in Card sorting
Qualitative user research is about exploration. Exploration is about the journey, not only the destination (or outcome). Gaining information and insights about your users through interviews, usability testing, contextual, observations and diary entries.
Get your website working harder by finding (and solving) navigational issues. Navigation that works intuitively will keep users longer, help them complete their task and keep them coming back.
Information architecture that is tested and researched can inform great web design. Creating a simple and intuitive user experience that keeps them coming back.
We’ve put together a brand new Actionable IA guide that's full of ways you can fix, refine, update and test your own IA.
On the fence about card sorting and why you should be using it to improve your user experience? Start here.
It’s time to take a look at the analysis side of card sorting, specifically in our tool OptimalSort. Let’s get started.
In this article, we answer some of the most common questions about online card sorting – the research method that OptimalSort uses.
In the field of user research, few methods surpass card sorting for figuring out how your users understand and categorize information.
Running a card sort remotely has quickly become a popular option just because of how time-intensive in-person card sorting is.
We've just added a powerful new analysis feature to OptimalSort, one that’s never been seen before and will give you a totally new perspective on your data.