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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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GENERAL

How can I create custom criteria for feature gate targeting rules in Statsig?

Date of slack thread: 7/29/24

Anonymous: Hey folks. I’m looking for documentation on how to create custom criteria to use in my feature gate targeting rules. A Google search turns up links to FAQs that no longer exist and I’m having trouble finding it in the developer docs. Thanks in advance!

tore (Statsig): The custom condition is documented here: https://docs.statsig.com/feature-flags/conditions#custom. You can create those rules on a flag, but they depend on a key:value pair that you set in the StatsigUser object for that check - so I’m not sure if your question is about the console setup piece or the sdk check part.

Anonymous: Thanks. Can we pass in additional k/v pairs when doing a gate check as well (additional context at the call site) or does it all need to be configured on the user object?

Vineeth Madhusudanan (Statsig): It needs to be configured in the user object - but you can update the user object at anytime. If you’re doing this on a server SDK, it’s effective immediately with no round trips to Statsig. Most people build something like the viewerContext back at FB to make this simple.

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Why the best build with us

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Brex Brex
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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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