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When I hit the road and chat with people at shows and meetups, I’ll often ask, “Do you use feature flags?” More often than not, the answer is “Yes.” Then I started asking follow-up questions and discovered a confusion we need to clear up.

“We’re agile, so we don’t need a product roadmap.” In an increasingly agile world, I’ve heard this statement and variations of it time and time again. Organizations implementing agile methods often struggle to see how and where a long-term strategy fits in while working under a philosophy built on uncertainty.…

Available as Beta on Split’s Platform Edition as part of the Experiment package. With today’s release, you can now create a range of metrics from a single event, providing a deeper analysis of the results of your experiments. These additional insights into knowing how people are using your application is…

Feature launches in leading engineering teams increasingly look like a ramp rather than a one time switch, going through dogfooding, debugging, max power ramp, scalability and learning phases.

We’re excited to announce the release of dynamic configurations. You will now be able to attach configurations to your treatments to instantly change components of your features without needing an engineer to make any code changes.

Split’s goal is to power the world’s product decisions, so we are always looking for new ways to enable our customers to be more data-driven. We believe in the power of metrics and strive to make sure our users have a holistic view of their experiments’ impact. Split’s existing metrics…

It’s easy to think of the user interface as the primary target for new functionality, with product teams eagerly watching important business metrics such as conversion rates and user engagement for improvements after each release. But behind the scenes, engineers are continually working on server-side innovations such as changes in…

Starting today, Split is an initial partner for Segment’s new Developer Center, making it even easier to send user events and customer identities tracked in Segment to Split for analysis in a feature-driven context.

If your release train is moving slower than you would like, take a look at these three essential ingredients you should have.