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
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How to schedule feature gate roll out based on environment in Statsig?

To schedule a feature gate roll out based on the environment in Statsig, you need to specify the environment during initialization and in your feature gate rules.

During initialization, set the environment tier as follows:

javascript options = {  environment: { tier: `${env}` }, }

After setting the environment tier, you need to specify the environment in your feature gate rules. Follow these steps:

1. Navigate to the Statsig Console and create or edit a Feature Gate.

2. When creating a rule for your Feature Gate, check the "Specify Environments" checkbox.

3. Choose the environments (like 'development' or 'staging') you want your rule to be enabled for.

4. Save your changes.

By default, unless otherwise specified, a rule is enabled for ALL environments. Therefore, it's crucial to specify the environment in your feature gate rules.

If your feature gate is not evaluating as expected, double-check the environment value you're passing during initialization. Ensure it matches exactly with the environment specified in your feature gate rules.

Remember, the order of rules in the Statsig console matters. If you have multiple rules, the first rule that matches the conditions will be applied. Therefore, if you have a specific rule for a certain environment, make sure it is placed before any general rules that could also apply.

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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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