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"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."
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"The kill button is super easy. Now I just, ‘whoop’, kill it. If we are seeing something wonky, it makes it so easy to turn off. When we’ve triaged the feature we can go back and re-enable it."
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"As we improved our checkout process relying on Split to measure the impact of our changes, we saw an overall increase in conversion year over year, and that’s made a huge difference on our bottom line."
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“Split provides so much more than just a tool set change in that respect. You know, it sounds simple, feature toggles, but it’s transformative in nature. It’s transformative in terms of the teams, in terms of the culture that we adopt.”
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"Split’s full-stack experimentation platform has been built with engineering and product teams in mind. Its robust architecture and rich feature set integrates into our internal platforms and helps power experimentation across our entire engineering organization."
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“By decoupling experimentation decision-making from engineering Resources [with Dynamic Configuration], product teams become empowered to make fast and flexible changes to the product with little to no technical knowledge.”
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"Split gives me a lot of confidence in our releases as we are able to customize our rollouts, and even roll back quickly if needed. It also allows us to target certain segments that we’d like to release to prior to others.”
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"It’s powerful to think about all features launched before Split and how many of those must have cost us money that we don’t know about."
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“If we build it we have to test it to make sure it’s doing the right thing. When we conduct backend experiments, we have to know the system will remain reliable. We have to make sure the backend behaves in a way that doesn’t impact the user experience.”
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“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 …
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“Split provided the platform and integrations we needed to run full stack experiments for key technical and customer experience questions.”
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“Without Split, rollbacks could take a couple hours to a day. And after that, there might still be a lot of code cleanup. Split helped us increase our engineering velocity and code stability.”
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"Leveraging Split with our existing tool stack, we’ve been able to consolidate our agile deployment strategies to deliver every three weeks from an original 1.5 months."
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"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."
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"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."