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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
EXPERIMENTS

Can I update or revert a decision after choosing the wrong group in an experiment?

In the event that an incorrect decision group is selected during an experiment, there are a couple of approaches to address the issue.

Firstly, if the parameters on the control and test groups can be swapped without any hardcoded behavior specific to the control or test, this action could potentially resolve the problem. However, it is important to note that this may lead to corrupted data.

Alternatively, the experiment can be reset, and a decision can be made immediately thereafter. It is important to understand that resetting the experiment and making a new decision will replace the top-level results with the new iteration of the experiment, which will not contain data.

However, data from previous iterations of the experiment can still be accessed through the 'View History' feature. This allows for the preservation of historical data while addressing the issue of the incorrect decision group selection.

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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.
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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