Frequently Asked Questions

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GENERAL

Can custom events in Statsig <> Heap integration be filtered by environment tier?

Date of slack thread: 6/26/24

Anonymous: Hello! I’m setting up a Statsig <> Heap integration following these instructions. I’ve also set up a custom event following these instructions. In the Event Filtering settings of my heap integration, I can filter out gate events by environment tier. However, it doesn’t seem like there is a way to do the same for custom events in these settings (even though the statsig environment tier is automatically passed with any custom event). I just want to verify that there is currently no way of doing this before pursuing other options. Thank you!

Anonymous: Screenshot showing ability to filter gate exposure events by environment

Anonymous: Screenshot of the custom events section with no environment filtering option

Anonymous: I’ve done some local testing and it looks like the environment filters used for the gate exposure events also apply to the custom events. A confirmation on this would be great, though - thank you!

Vijaye (Statsig): <@U03JVAXMKLJ>

Vijaye (Statsig): <@U03JVAXMKLJ>

Joe (Eng - Statsig): cc <@U03TVG1MD9R>

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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.
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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.
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Karandeep Anand
President
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.
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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.
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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.
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Partha Sarathi
Director of Engineering
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