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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
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GENERAL

How can I configure the refresh intervals and event batching in the Statsig server SDK?

Date of slack thread: 4/3/24

Anonymous: QQ regarding the server SDK, I see here that the ruleset are refreshed every 10 seconds, and events batched and flushed after 60 seconds. Is there a way to configure that? I see there’s an option to use ExplicitStatsigOptions during SDK init, but not sure which fields correlates to what I’m looking for.

Anonymous: You da real MVP bot

Anonymous: Hey, can you provide me with similar example but from the nodejs sdk instead of python?

Anonymous: Really glad the bot helped! If you want to ask it more questions you can do this within Statsig from the ? menu at the top. We don’t have it set up to handle follow up questions here. Just make sure you repeat the original question and you can get it to help you there.

Anonymous: Roger that, awesome work with the support from every corner

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Why the best build with 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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