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

Why am I receiving null when fetching a value from a Dynamic Config in Statsig?

If you're using the dynamicConfig.get("key", defaultValue) method to fetch a value from a Dynamic Config in Statsig and receiving null, it could be due to several reasons:

1. The key does not exist in the Dynamic Config: Ensure that the key you're trying to fetch is correct and exists in the Dynamic Config.

2. The Dynamic Config has not been initialized or fetched correctly: Check the initialization and fetching of the Dynamic Config. Make sure it has been done correctly as per the Statsig documentation.

3. Issue with the default value provided: There might be a problem with the default value you've provided. Verify that it is correct and compatible with the expected value type.

If you've verified the key, checked the initialization and fetching of the Dynamic Config, and ensured the default value is correct, but you're still receiving null, it might be a more complex problem that requires further investigation. In such cases, we recommend flagging this issue for further assistance from the Statsig team.

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What builders love about us

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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
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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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