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

What does the "statsig::app_error" event mean in the React Statsig SDK and why is it only firing on iOS devices?

The statsig::app_error event is an automatic log created by the Statsig SDK when it encounters an uncaught exception on your webpage. This event is not necessarily related to your Statsig implementation, but rather, it is associated with any error on your webpage.

The statsig::app_error event can be particularly useful when you navigate to the Event Logstream and inspect the details. Depending on the nature of the error, the SDK may be able to capture the line and error message.

It's important to note that the occurrence of this event on iOS devices could be due to a specific condition or issue unique to the iOS environment. However, without more specific information, it's difficult to provide a definitive answer.

For further assistance with this issue, it is recommended to reach out to the Statsig team directly. They may be able to provide more insight into this specific event and why it's being triggered on iOS devices.

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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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