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

Why is a stable ID not showing in search results despite being present in many experiments?

To check if a specific user ID or stable ID has been manually added to any experiments using "Manage Overrides", follow these steps:

1. Log into the Statsig console

2. On the left-hand navigation panel, select "Users".

3. In the User's tab, enter the specific user ID or stable ID you're looking for in the "ID" field and select the appropriate "ID Type" from the dropdown menu.

4. Click "Submit" to load the data for the entered ID.

The resulting information will include a section titled "Overrides", which lists all the entities (Feature Gates, Experiments, etc.) that the given ID has been manually overridden into. Please note that you need to enter both the ID and ID type to submit a query.

If a stable ID is not showing in search results despite being present in many experiments, there are a couple of things to check:

1. Ensure that the box “include in Pulse results” was checked in the override modal.

2. Consider the timing of the assignments/exposures. It may take some time for the system to update and reflect recent changes.

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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
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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.
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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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