"90% of our changes are behind a split (feature flag)."

"Split has made us more confident in our release process and also more confident in our data decisions."

“Split has allowed Vida to test our mobile application in a way we wouldn’t be able to do otherwise.”

"Without Split it was hard to time the release of our web app, API, and mobile app – given app store approvals. Now we can group a change behind a feature flag, do a production dry run, and toggle it on for users."

"Split gives us an easy and fast way to pull the plug if something goes wrong without a heavy involvement from engineers."

“The thing that’s great about Split is that you can change the behavior of the product outside of a code deployment.”

“If we built this in-house, most engineers would look at this and say ‘feature rollout, it’s not that hard’. But when you think about having multiple environments, having a UI, conditional filters, an impression data pipeline, all that—it’s a whole team working for a very long time to be able …

“The integration with Amazon S3 helps us track all the events that happen offline. In our case, an example is someone investing money on our own bank account. That cannot be tracked through Segment, but we obviously aware of when someone sends us the money. An integration with Amazon S3 …

"Thanks to Split, we were able to learn that the risky version actually had the highest adoption by our customers while keeping overall signup conversion steady."

“Split’s Azure DevOps integration has simplified our workflow by allowing our developers to create new flags directly in the boards. The linkage between work items and feature flags is a big plus because it streamlines the process of knowing when all work is completed for a single feature, helping us …

"To balance rapid development with the high availability our customers demand, we needed total control over releasing new functionality. To build and maintain such a system would have taken extensive time and resources. With Split, we're getting the features we need today along with the help of a team of …

"A/B testing is a side effect of controlled release. That’s what I love most about Split."

"It’s inherently collaborative and transparent, a rigorous and sound process based on the hard data we know about."

"One of our first experiments was a great learning experience. It prevented us from introducing something that we thought was good, but actually would have likely given us a negative impact. We’re now doing another iteration to get it right."

"We use feature flags and run experiments a lot more because it’s easier now with Split. We can target a random sample size. We can increment the size of that sample really easily, and we can toggle it off immediately if there’s an issue."