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 can't I find a user in the Statsig admin UI after updating attributes in development?

When attempting to update user attributes in a development environment using the JavaScript SDK and subsequently searching for the user in the Statsig admin UI, it is important to understand the expected behavior and requirements for user data to be logged and visible.

Users initialized as anonymous will only have a stableID. If you assign them to a feature or test, they will appear in the Users tab, searchable by stableID, although there may be a delay as data takes time to reach the Users tab.

To see a user's profile updated with additional information such as userID and email in the Users tab, you must enrich their user object with these details and then trigger a subsequent event. It is important to note that only 'production' data is displayed in the Users tab.

However, you can view assignments in real-time for both production and lower environments in the Diagnostics tab. To log the user object, you must call the logEvent API or alternatively use checkGate or getExperiment, as merely initializing the SDK will not log the user object.

For debugging purposes, you can use the Exposures Log stream for any test or gate under the Diagnostics tab, and the Event logstream under the Metrics page to view any custom logEvent events sent to Statsig.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
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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.
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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