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

Can I use an event value for Segment events in the Autotune configuration?

Yes, it is possible to use an event value for Segment events. When sending events from Segment to Statsig, anything in the properties field of the Segment event is treated as the event metadata field on Statsig's end. This can include an event value. For instance, you can use this field to specify the type of achievement that was unlocked, or the name of the product that was added to cart, or the price of the item that was purchased. However, the specific implementation details might need to be confirmed with the Statsig team.

When it comes to the Autotune configuration, it's important to note that it currently doesn’t support optimizing for the value on an event. Autotune can only be configured to optimize for the count or occurrence of an event. For example, if you want to pick the variation that will have the most number of success events, you pick that event.

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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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