Metrics

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…

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…

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.