Feature experimentation

SRE goals align perfectly with robust feature delivery and experimentation, where every new feature gets tested, and releases happen behind feature flags.

Product experimentation is the most effective way to determine what works best for end-users. You can measure engagement with a feature and hypothesize ways to improve that engagement, which will ultimately impact one or more critical business metrics. If you’re setting up an experiment, it’s mission-critical to implement A/B testing…

Why build or buy a robust feature flags as a service platform when you could just implement a simple toggling mechanism as a one-off and be done with it?

Split hits 1T feature flags served per month, and analyzes how COVID-19 has accelerated trends in digital transformation and feature experimentation.

Feature flags let you control which users are exposed to code. This super-power of dynamic exposure control drives the top three feature flag use cases.

Visitor behavior may differ based on the day of the week or the time of the year. Be sure to account for that when defining the duration of your experiment.

Become more data-driven around feature releases by using impression data from Split in mParticle and mParticle event data to evaluate treatments in Split.

Learn how Walmart uses product experimentation as a way to increase engineering impact and progressive delivery as a way to reduce the risk of moving fast.

Over the past few months we’ve been out in the field, chatting with development and operations teams from more than 100 different organizations around the U.S. We wanted to know how they get software to market. How often do they release new features to their users? How often do they…