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 to start a new version of an existing experiment in Statsig

To start a new version of an existing experiment in Statsig, follow the steps below:

1. Log into the Statsig console.

2. Once logged in, navigate to the Experiments section. You can find this in the left-hand navigation panel.

3. Click on the Create button to start a new experiment.

4. Enter the name and description for your new experiment. Remember, the name of the experiment should be unique. If you're creating a new version of an existing experiment, consider including a version number or date in the name to distinguish it from the original.

5. Configure your experiment's allocation, targeting criteria, and groups and parameters. This step is crucial to ensure your experiment runs as expected.

6. Specify your hypothesis and add the Primary and Secondary metrics for your experiment. These metrics will help you measure the success of your experiment.

7. After all the details are filled in, press Save and Analyze to start the experiment. You'll be prompted to finalize the dates, experiment status, and optionally set up a schedule to reload experiment results.

By following these steps, you can easily start a new version of an existing experiment in Statsig.

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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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