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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
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GENERAL

How can we handle an "early access" user list with more than 1000 users in Statsig?

Date of slack thread: 8/12/24

Anonymous: Hello :wave:

Looking for some support on how best to handle a early access user list. Currently we make use of a Segment where we add and remove ID’s via the API - then use the Segment list in our Feature Gate configuration.

Problem being we’d like to add more than 1000 users to this Segment - do we have other options, or instance can we make use of the User object by adding a removing a custom property via the API?

Cooper Reid (Statsig): The limit is 1,000 so you’ll need to use attribute-based targeting and surface that property at runtime to the SDK

Cooper Reid (Statsig): There’s no other workaround to circumvent the 1k limit :pray::skin-tone-3:

Anonymous: Hey <@U0407J991EF> - thank you for the reply :slightly_smiling_face:

Have gone down the user attribute based route, I think this will work nicely for us

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Why the best build with 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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