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

How can QA manually test different experiment variants without opening a new tab?

To manually test different experiment variants without the necessity of opening a new tab, you can utilize overrides to control which variant is exposed to a QA user or developer. Overrides can be implemented in two primary ways to facilitate manual testing within the same context.

Firstly, you can add the QA user ID to the overrides in the experiment setup. This method allows you to manage the experiment assignment behavior directly from the Console. Secondly, you can use a local override API to set specific overrides via code.

This approach enables you to change the behavior on the fly, similar to modifying a value in local storage. For instance, calling Statsig.overrideConfig in a browser's developer tools window can alter the experiment's behavior immediately.

These methods ensure that manual testing of different variants can be conducted efficiently and effectively within the same browser tab, providing a seamless experience for QA testers and developers alike.

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What builders love about 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.
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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