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
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EXPERIMENTS

Does calling `checkGate` after `checkGateWithExposureLoggingDisabled` log the exposure correctly?

The checkGateWithExposureLoggingDisabled api will return a gate evaluation without logging an exposure event. This is useful when you don't want to log exposures for users who may not reach the feature you're testing, but need to know their evaluation sooner to set things up.

Later, when the user reaches the feature, calling checkGate will return the same result and log an exposure event. Both checkGate and checkGateWithExposureLoggingDisabled will return the same result for a given user and gate.

Note that statsig sdks handle exposure logging by default because manual exposure logging can lead to an imbalance in exposure events. For example, only triggering exposures for users in the Test group of an experiment could imbalance the experiment.

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Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
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.
OpenAI
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.
Brex
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.
Notion
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering
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