Category • 28 Posts

Features

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
Thumbnail for Split Workspaces: Managing Experiments and Feature Flags across teams and projects at scale
Features

Split Workspaces: Managing Experiments and Feature Flags across teams and projects at scale

Announcing the release of Split Workspaces, giving our customers the ability to easily separate feature flag management and feature experimentation across their products and applications. This comes as a direct result of our experience onboarding our customers onto the Split experimentation platform over the years.

Kevin Li
Thumbnail for Helping you make product decisions more efficiently
Features

Helping you make product decisions more efficiently

At Split, we are always improving how we can help our customers make these decisions more efficiently across the full application stack. In this blog, I will discuss best practices to achieve statistically significant results in your experiments and how Split can help you accomplish this.

Sophie Harpur
Thumbnail for Split Announces Enhancements to Attribution and Exclusion Logic
Features

Split Announces Enhancements to Attribution and Exclusion Logic

We built Split’s feature experimentation platform with this fundamental assumption: the data you capture to measure and understand your customer experience is collected across many touch points, and any tool you use to release feature flags and measure impact must be able to capture data from all of them.

Lenore Adam
Thumbnail for Send Data From Every Customer Touchpoint to Split With Our New Segment Integration
Features

Send Data From Every Customer Touchpoint to Split With Our New Segment Integration

As adoption of feature flags has spread, product teams have learned to release new features incrementally, exposing new functionality slowly to the user base with a careful eye towards ensuring the right customer experience. Feature flags have made automating the process of measuring product metrics much easier.

Trevor Stuart

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