Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs

Why are changes being saved on a dynamic config without requiring reviews even after enabling reviews?

In order to enable reviews for changes that will impact your production environment, you need to follow certain steps. This includes changes to a dynamic config or gate, which affect rules with the production environment or apply to all environments. It also includes changes to an experiment that has started.

The philosophy behind this approach is to strike a balance between allowing developers to move quickly in a local environment, while ensuring that any changes that will impact end users will require a review.

Here's how it works:

1. Reviews are only required for changes that will have an effect on the production environment. This means that if you're making changes to a dynamic config or gate, reviews will only be required if these changes affect rules with the production environment or apply to all environments.

2. For experiments, reviews are only required for changes to an experiment that has started. This is because these changes could potentially impact your end users.

If you're seeing behavior that doesn't align with these rules, it's possible that there's a technical issue that needs to be addressed. However, in most cases, following these guidelines should ensure that your changes are reviewed appropriately before they're implemented in a production environment.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Karandeep Anand
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Partha Sarathi
Director of Engineering
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