AJ and his team use HeadSpin to quickly identify which features and strings are broken in a new build of Tinder’s app. Whether an issue arises because text is too big, a layout doesn’t work properly, or a translation lacks context, HeadSpin automatically identifies potential problems and makes them easy for an engineer to reproduce.

With thousands of devices connected to networks in 100+ global locations, AJ’s team can quickly and easily check the functionality of new features around the globe — right from their web browsers. According to AJ, “Instead of flying all around the world, HeadSpin allows you to just drop in on India, see how your feature is looking in Brazil or verify that the right ads are showing up in the UK.”

HeadSpin has allowed Tinder to be more conscious of international users when releasing new products or features. As AJ puts it, “Our user base is international first. But very rarely do we think about our users in India before we think about our users in the US. Headspin has given us the ability to see just how different the experience can be in different parts of the world.” The insights provided by HeadSpin have also allowed Tinder to improve the speed at which they can address specific localization issues — ensuring that broken translations don’t continue to hamper user experience once they’ve been identified.

“HeadSpin provides insights in a way that allows teams to better understand each other and align to address important issues. The platform delivers app performance data side by side with recordings of corresponding user experience issues. According to AJ, “Until you can tell a story alongside technical performance data, you're going to have a hard time getting people on the same page within an organization. Having recordings of UI and UX sessions next to network breakdowns is really helpful.”