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 warning 'Event metrics do not have data' mean in a Statsig experiment?

When conducting an experiment with Statsig, you may encounter a warning stating 'Event metrics do not have data.' This warning is designed to ensure that there are participants in your gate or experiment who have also had some event logged for them. It serves as a validation that the users in the experiment have corresponding metrics that exist for them.

This warning can be triggered during the initial stages of an experiment, especially when all components of Statsig, such as the SDK and experiment configurations, are deployed simultaneously. It is important to note that there is a waiting period after the gate gets modified, and it may take some time for the system to recognize that users have been exposed to the experiment and have logged events.

The warning is expected to resolve once the system detects overlap between users in the experiment and the logged events, which can take up to an hour after the events have been logged.

For most metrics, computation occurs on a daily basis, and results will be available the following day. However, for 'event_count' type metrics, leading indicators can be computed and may be visible in about an hour.

If you encounter this warning, it is advisable to wait for the system to update and check if the warning persists before taking further action.

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OpenAI OpenAI
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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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