---
title: 2023 Optimizely Performance Edge release notes
slug: performance-edge/release-notes/2023-optimizely-performance-edge-release-notes
docTags: 
createdAt: 2026-08-31T17:05:23.486Z
---

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## December

Released [automatic SRM detection](docId\:JFKBHyB1tPQH0-EMRjAOR).

Every customer needs to quickly identify problems and protect their experiments from unintended traffic imbalances. Optimizely now automatically runs SRM detection tests embedded within your Stats Engine A/B experiments. When the detector finds unusual imbalances in visitor traffic to an experiment's variations, it identifies the severity and then sends out an in-product notification. You can now detect experiment problems early and without manual effort. See [Optimizely's experiment health status documentation section](docId:1_hGelDKmv35xsaAzAH3Z).

## September

Released Extensions for Optimizely Performance Edge. See [Create reusable templates for custom features from Extensions](docId\:QANZ3gFOty4EplLUP9jba) for information.

## August

Released [Collaboration](https://www.optimizely.com/insights/blog/announcing-experiment-collaboration/), which is designed to help teams manage their experiment ideation, planning, and hypothesis-creation process more effectively. You can currently link your Optimizely Performance Edge experiments to your Hypothesis through your experiment URL. Learn more and create your first hypothesis by following the [seven steps to set up Collaboration](docId\:D3UDxsZiQIyrlpX5SITTv).

## July

Released the Extensions beta for Optimizely Performance Edge. See [Create reusable templates for custom features from Extensions](docId\:QANZ3gFOty4EplLUP9jba) for more information.

## May

Added back the ability to unarchive experiments. See [Manage experiments and campaigns](docId\:qzbXoE8XeYomBkiN552e2).

## April

Ended support for Internet Explorer (IE) 11 on April 15, 2023. See [Supported browsers for Optimizely Experimentation](docId\:zM_K6nA-ly59JbGadE6cF).

## March

Removed the ability to unarchive experiments. See [Manage experiments and campaigns](docId\:qzbXoE8XeYomBkiN552e2).