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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
EXPERIMENTS TROUBLESHOOTING

How to ensure consistent experiment results across CSR and SSR pages with Statsig

Ensuring consistent experiment results across Client-Side Rendered (CSR) and Server-Side Rendered (SSR) pages when using Statsig involves establishing a single source of truth for user assignments. The challenge arises when independent network requests on different pages result in varying initialization times, potentially leading to different experiment variants being presented to the user.

To address this, it is recommended to have one consistent source of truth for the user's assignment. This can be achieved by using the assignments from the first page (CSR) and carrying them over to the second page (SSR), rather than initializing a new request on the second page.

This approach ensures that the user experiences a consistent variant throughout their session, regardless of the page they navigate to. It is important to note that the user's decision for any getExperiment call is determined at the time of initialization, not when getExperiment is called. The getExperiment call simply returns the value fetched during initialization and logs the user's participation in the experiment and their assigned group.

To implement this, developers should ensure that the assignments are fetched from the network request on the first page and then passed to the second page, avoiding the need for another initialization request and the management of an ever-growing list of parameters.

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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.
OpenAI
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.
Brex
Karandeep Anand
President
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.
Notion
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering
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