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

Does resetting an experiment clear the previous metrics?

When you reset an experiment, it does not erase the previous data from the experiment. Instead, it puts the experiment into an unstarted state, and every user 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. This helps ensure that the new result for the group that was not performing well due to an issue is not negatively affected even after the issue is addressed in the new version.

However, the analysis will restart when you restart the new run, because users’ group assignments will get reshuffled when you restart an experiment. All results, including primary and secondary metrics, will restart fresh when you reset the experiment.

The previous data from the experiment will still be available. You can find the results from the previous run in the experiment’s history. You can refer back to it by clicking on the link provided in the history section.

For more information, you can refer to the Config History Guide.

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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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