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 are some of my experiment events not being sent to Segment from Statsig?

If you have integrated Statsig with Segment and are experiencing issues with some experiment events not being sent to Segment, there are a few things you could check:

1. Event Filtering: Statsig allows you to filter which events should be sent to Segment. Please check your Event Filtering settings in the Statsig console to ensure that the missing events are not being filtered out.

2. Segment Integration: Please ensure that your Segment integration is still correctly configured and enabled.

3. Event Data: Ensure that the events you're sending from Segment include the same identifier (either userID or stableID) as the one used in your client SDKs for the experiment. This will help Statsig join the events with the correct experiment groups.

If you've checked all of these and are still experiencing issues, please let us know. We'll flag this issue and a Statsig team member will be by to help shortly.

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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.
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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
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