Category • 32 Posts

Features

Thumbnail for Detect user experience degradations with our newly released RUM agent
Features

Detect user experience degradations with our newly released RUM agent

Split manages more than 50 billion feature flags changes around the world every day. A recent study shows that about 5 to 6% of feature flags are rolled-back (or killed, using Split terminology in reference to a kill switch) within 30 days of being created. This speaks to the importance…

Pato Echague
Thumbnail for Respond quickly to degradations in metrics with alert policies
Features

Respond quickly to degradations in metrics with alert policies

At Split we believe in the power of metrics, and are always striving to improve the ways we help our users make more data-driven product decisions. In this previous post we talked about the importance of understanding the impact of a new feature release via key and guardrail metrics. With…

Sophie Harpur
Thumbnail for Find which feature caused an error with our new Sentry Integration
Features

Find which feature caused an error with our new Sentry Integration

When we speak to our customers, one of the most common reasons they say they made the move towards feature flags was the need to make sure their releases didn’t cause more errors for their users. By leveraging feature flags to ramp the release of their features to just small…

Kevin Li
Thumbnail for Release Safer with Feature Monitoring
Features

Release Safer with Feature Monitoring

Find faulty features before your customers do One of the most common reasons, our customers tell us, for moving towards feature flags is risk mitigation: the need to make sure releases don’t cause errors for users. Given how frequently organizations are now deploying features, the ability to limit the blast…

Omer Aftab
Thumbnail for Gain Richer Insights More Easily with Event Properties
Features

Gain Richer Insights More Easily with Event Properties

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…

Sophie Harpur
Thumbnail for Dynamic Configurations: Run more experiments without changing code
Features

Dynamic Configurations: Run more experiments without changing code

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.

Kevin Li
Thumbnail for Dive into your split’s metrics impact with our new metric details and trends view
Features

Dive into your split’s metrics impact with our new metric details and trends view

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…

Sophie Harpur
Thumbnail for Split now a supported Segment Destination partner
Features

Split now a supported Segment Destination partner

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.

Lenore Adam
Thumbnail for How to Choose the Right Metrics for Your Experiments
Features

How to Choose the Right Metrics for Your Experiments

In this post, we will talk about key experimentation concepts including how to choose your Overall Evaluation Criteria (OEC) for your experiments and how to increase the sensitivity of those metrics through metric filtering and metric capping.

Sophie Harpur

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