Feature experimentation

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…

Product teams that don’t take into account a user communication and user feedback collection strategy as part of their experiments risk not getting enough data to evaluate results. This article walks through a couple key communication steps that products should follow to ensure effective and timely product experiments.

We are thrilled to announce that Twilio has chosen Split as a key component of their experimentation capability to drive faster product decisions.

We demoed our new feature experimentation platform at the event, and the response was overwhelming. Engineering leaders saw the value of controlling the blast radius of a new feature, by only exposing it to beta customers or even doing a percentage-based roll-out to users that match specific attributes.

We are excited to announce that today, we are launching the Split Feature Experimentation Platform. The platform offers enterprises a secure way to roll out software, target specific features to customers, and measure and analyze the impact of features on key metrics. It is the only offering that can ingest…