Frequently Asked Questions

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Statsig FAQs
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GENERAL

How can I pass and access the stableID generated in the client SDK to my backend for checking experiments?

Date of slack thread: 5/28/24

Anonymous: Can I pass the stableId generated in the client SDK to my backend so I can use that for checking experiments in the backend? How can I access it? Is it better to use that stableID or generate one?

Statbot: Yes, you can pass the stableID generated in the client SDK to your backend to use for checking experiments. To access the stableID in the client SDK, you can use the Statsig.getStableID() function. Here’s how you can retrieve it:

const stableID = Statsig.getStableID();

As for whether it’s better to use the stableID generated by Statsig or to generate your own, the documentation suggests that if you have your own form of stableID and would prefer to use it instead of the Statsig generated ID, you can override it through StatsigOptions when initializing the SDK:

const opts: StatsigOptions = { overrideStableID: "my_stable_id" };
await Statsig.initialize("client-xyx", null, opts);

Using the stableID generated by Statsig is a good default choice, especially for device-level experiments or when other user identifiable information is unavailable (e.g., logged-out users). However, if you have a specific reason to use your own identifier that aligns better with your system’s design or requirements, you can choose to override it as shown above [source].

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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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