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

Can I 'freeze' a gate to stop evaluation for new users but return previous evaluation for old users?

Currently, there isn't a feature to 'freeze' a gate in the way described. When a feature gate's status is changed to 'Launched' or 'Disabled', it will always return the default value (TRUE for Launched, FALSE for Disabled) for all users, regardless of whether they are new or old. The gate will stop generating billable exposure events, and you'll stop incurring costs. The gate reference is likely safe to be cleaned up in the codebase.

Implementing a feature to remember the previous evaluation for a gate would be challenging. However, if you want this sort of behavior, you could implement it yourself. If you have a client-side app, it would be fairly easy to store someone's evaluations in local storage, and check for a value there before checking Statsig.

For server-side implementation, you would need a database and a bit more work. This would allow you to store the evaluations and check for a value before checking Statsig, effectively creating a 'freeze' behavior.

Please note that these are workarounds and not built-in features of Statsig. If you have further questions or need assistance with a specific use case, please reach out for further assistance.

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What builders love about us

OpenAI OpenAI
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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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