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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
FEATURE FLAGS SDKS

How to check feature flags for entities rather than users in Statsig SDK?

In scenarios where there is a need to check feature flags for entities rather than individual users within the Statsig SDK, a workaround can be implemented using dynamic configs.

Dynamic configs in Statsig allow for the evaluation of different values for different IDs, which can be used as a substitute for feature flags by substituting user-specific checks with entity-specific checks. While dynamic configs do not support pulse, they share a common definition and evaluation method with feature flags, returning a JSON value instead of a boolean at the end of the evaluation process.

This approach can be particularly useful when dealing with long-lived sessions or when there is a need to frequently update the cache to reflect the latest configurations.

It is important to note that implementing a new SDK to handle this use case would be a more substantial undertaking, and utilizing dynamic configs as described may provide a viable solution without the need for such an investment.

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What builders love about 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
CPO
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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