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

Can I restart or extend an experiment in Statsig and does reset clear the metrics?

In Statsig, you have the ability to both restart and extend an experiment.

To restart an experiment, you can utilize the 'Reset' option. This action will revert the experiment to an unstarted state, and all users will receive the default experience. The "salt" used to randomize a user's group will also be changed. This means that when you start the experiment again, your users will be randomly assigned to a group that is not necessarily the same group they were in prior to the experiment being reset.

When you reset an experiment, it also clears the metrics. However, you will still be able to see the old snapshot in the history, but the experiment itself will start afresh.

To extend an experiment, you can adjust the target duration in the advanced settings. Changing the target experiment length will not result in data loss or change the assignment to Control/Test. The target experiment length is primarily used for tracking progress against your experiment's duration. It does not impact the data collected or the group assignments within the experiment.

Please note that the sizes of variants cannot be adjusted while the experiment is in progress. If you wish to increase the exposure of a variant, you would need to stop the current experiment and start a new one with the desired percentage split.

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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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