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.
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GENERAL

How can a Type A user know the experiment group of their associated Type B user in a react chat application?

Date of slack thread: 7/24/24

Anonymous: Our react application is a chat application with two classes of users (lets call them Type A and Type B).

  • Each user has a unique ID
  • Users of Type B are always associated with a single user of Type A If I run an experiment on users of Type B, how can users of Type A know which experiment group Type B was in? My goal is for the config shown to Type B to also be shown to Type A.

tore (Statsig): Are there separate identifiers for this? Like B_id and A_id?

Anonymous: Yep

Anonymous: Providers and clients are more concrete than Type A and Type B

tore (Statsig): Im not sure I fully understand yet, but I wouldd probably model this as two custom ids then, and initialize statsig with both/set both on the user object. Your experiment will be based on one of those ID types, so checks will ignore the other ID. So you can set it up like this

{
  customIDs: {
    bID: <type_b_id>
    aID: <type_a_id>
  }
}

tore (Statsig): Wait is a user only ever type a or type b, not both?

tore (Statsig): Can you explain in less abstract terms? Its hard to follow

Anonymous: A user is either a provider or a client. A provider joins a video session with a client.

Anonymous: If a client gets put in the experiment group, I want the provider to also be put in that same group

Anonymous: In the case of a client, we would know their associated provider at initialization time. In the case of a provider we would not because a provider can have many clients.

Anonymous: LMK if I can provide additional info/context <@U01RAN2FKJP> thanks!

tore (Statsig): This sounds to me like you’re actually experimenting on a session, and the unit of experimentation should be the session_id, not the client_a or client_b id. Each client would be a part of the same session_id and would get the same experiment results.

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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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