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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
GENERAL SETUP

Can dynamic configs be extended based on tiers with base configs and additional criteria?

In the context of dynamic configurations, the concept of extending configs based on user tiers, while maintaining a base configuration, is a common query. The approach to achieve this functionality is not through dynamic addition of configuration segments, but rather through the use of targeted rules for each tier.

To implement tier-based dynamic configurations, it is recommended to create a complete version of the dynamic config for each tier. This means that instead of having a base config with incremental additions, each tier should have its own full set of configurations. User targeting is then employed to determine which configuration should be applied to a user based on their tier level.

This method ensures that the correct and complete set of configurations is delivered to the user, adhering to the tier they belong to. It is important to note that this process does not support the dynamic addition of configuration segments; instead, it relies on the pre-definition of full configurations for each tier.

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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
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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