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

Is it possible to have custom config for projects, like adding a custom criteria as a default option for feature gating?

Currently, it is possible to add custom criteria for feature gating. You can create user targeting rules based on user attributes such as email and user ID, and additional ID types can be added in project settings. These can be used for all new experiments, allowing control over the experience a test user sees.

However, there isn't a feature to set these custom criteria as default options for a project. The ability to add these as default criteria options with a dropdown menu is not mentioned in the current documentation.

That being said, we are working on Templating features, and any default configuration criteria, including custom field defaults, are being considered. This includes the possibility of having default custom config for metrics so when the feature gate is created, the custom default metrics are selected/not selected.

In terms of the level at which these metrics are custom to, we are considering project-level defaults. This would be particularly useful for organizations with multiple teams utilizing different repositories, allowing for defaults to be set based on the specific project.

Please note that these features are currently in the scoping phase, and we are actively seeking input on feature requirements.

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