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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
SDKS

How is the `allocatedExperimentName` value set on the `Layer` object in the statsig react SDK?

In the Statsig React SDK, the useLayer hook is utilized to obtain a Statsig Experiment, which is represented as a Layer. The allocatedExperimentName is a property of this Layer object.

The allocatedExperimentName is set as a hash of various display names for client-sdks. This is an expected behavior and not a bug in the SDK.

It's important to note that you should not need to access any of the properties on the Layer object directly. Instead, you should use the useLayer and useExperiment methods. You can refer to the Statsig documentation for more details on how to use these methods.

If you observe any unexpected behavior, it's recommended to review the experiment setup in the Statsig console. If everything appears correct there, the issue could be more technical in nature.

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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
CPO
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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