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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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SDKS

How to check if a user was exposed to an experiment using the JavaScript SDK?

You can use the JavaScript SDK to determine which group a user is assigned to by using the getExperiment API (or getExperimentWithExposureLoggingDisabled if you need to check without triggering an exposure that would enroll the user into the experiment).

If you are trying to determine if a user has been exposed in the past, our SDKs are not able to return that information. While the SDKs deterministically can return an allocation result that is stable for the user and experiment, they are not historically aware of evaluation results.

For more information, read how bucketing works in Statsig SDKs.

Alternatively, there is an API that returns this information in the form of a daily report. Our data pipelines are aware of historical user assignments, so you can download that information via the Daily Reports Console API endpoint.

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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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