Web Usability Blog

Accessibility is about universality, not disability. It is about making sure as many people as possible, no matter their physical location or ability, can access your content.

There are many different ways to approach usability testing these days… lab-based testing, online surveys, field research and self-videoing testing to name just a few. While all have their place in the UX world, you need to consider carefully which methodology you choose. Pick incorrectly and you are likely to end up with low-quality insights and wasted time and money.

The number one piece of advice we can give anyone embarking on a user research project, is for you and your colleagues to watch it live, as it happens.

2021 is an exciting year and not just because we will hopefully see the back of Covid!

My Granny was given an iPhone for Christmas. At 92 she is probably a few years older than Apple’s average user, so I wanted to see how she was getting on...

The online world can be an unfriendly place for users with disabilities. While access technology has come on leaps and bounds, with a range of options available to users with visual or motor impairments, many websites still do not make it easy for users of assistive technologies.

Agile and UX are not natural bedfellows. Agile is fast-paced, focused on micro-processes and developer-driven. UX, on the other hand can be more time consuming, considers the big picture (i.e. what are users’ goals and can they achieve them) and is externally driven by users.

What is the best type of navigation for your website? With our 15 years of UX experience and many hours spent watching thousands of testers on hundreds of websites here are our thoughts.

The best made plans are based on a foundation of user evidence. By understanding what your users want, how they want it and where they go to get it you will more effectively be able to meet their needs.

On 12th November 2020, we celebrate World Usability Day. The theme this year is human-centred artificial intelligence(AI), which focuses on the potential AI has to increase human productivity: