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 initialize the client SDK in a way that doesn't retrieve unneeded configuration data for metrics only?

To initialize the client SDK in a way that doesn't retrieve unneeded configuration data for metrics only, you can use the statsig.initializeAsync method. This method should be called with your user object, client key, and options. The important option to pass here is “initializeValues.” You should pass an empty object {} to this option. This will instruct the SDK not to make a network request for values, and just to serve them from that empty object. You don't need to await the call, but if you did it should return immediately anyway. All the event logging APIs should work just fine, but you won't have values for any feature gate or experiment.

If you want a subset of data, that's definitely possible. We have something called “target apps” which allows you to associate a subset of your configs with a specific target app, and then associate an SDK key with a target app. That key will only fetch those configs with the same target app. More information on this can be found in the Target Apps documentation.

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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.
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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