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 am I seeing "Uninitialized" assignments in Statsig despite using StatsigSynchronousProvider for SSR pages?

The "Uninitialized" assignments in Statsig could be due to the initTimeoutMs parameter in the Provider. This parameter determines how long the Statsig client waits for the initial network request to respond before proceeding. If this timeout is too short, it could lead to an "Uninitialized" status if the initialization network request doesn't complete within the specified time.

In some cases, a 400ms timeout might be too short, causing the initialization to not complete in time, especially if network conditions are not optimal. It is recommended to consider increasing this timeout value to allow more time for initialization.

However, for Server Side Rendering (SSR) pages using the StatsigSynchronousProvider, there is no concept of initTimeoutMs. Therefore, the initialization happens on the server and there should be minimal uninitialized cases. If you are seeing a notable number of uninitialized cases for an experiment on an SSR page, it could be due to other factors not related to the initTimeoutMs parameter.

Please note that the initialization process involves a network request, and depending on the network condition and location of the users, a short timeout like 400ms might not be sufficient for many users.

Join the #1 Community for Product Experimentation

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

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
We use cookies to ensure you get the best experience on our website.
Privacy Policy