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

Will experiment buckets be preserved for Stable ID experiments when transitioning between SSR and CSR pages, even if the user object changes?

Yes, the experiment buckets will be preserved for the Stable ID experiments when the user transitions from the Server Side Rendered (SSR) page to the Client Side Rendered (CSR) page or vice versa. This is because the Stable ID is a unique identifier that persists on the device and is used to ensure that your users have the same experience or group across different states, including logged out to logged in states.

Even though the user object (userId) changes between these pages, as long as the Stable ID remains the same, the user's experiment group will remain consistent. This is because the Stable ID is used for bucketing in the experiment, not the userId.

However, it's important to ensure that the Stable ID is correctly implemented and persisted across different pages and sessions. If you're facing issues with Stable ID changing across subdomains, one possible solution is to store the Stable ID in a cookie and reuse it. You can store and retrieve your own id and use the overrideStableID method on the SDK to send it to Statsig. Your overridden id will always take preference.

Remember to always follow the best practices as outlined in the documentation when implementing experiments with Statsig.

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OpenAI OpenAI
Brex Brex
Notion Notion
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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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