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
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How to continue collecting metrics for an experiment after making a decision without resetting user assignments

When an experiment decision has been made and there is a need to continue collecting metrics without resetting user assignments, the platform does not offer a native solution to directly address this scenario.

Once a decision is made on an experiment, the platform does not support undoing that decision. The 'Reset' option is available; however, it will revert the experiment to an unstarted state, and all users will receive the default experience. If the experiment is reset or a new experiment is started, users will be randomly assigned to a group, which may differ from their original assignment.

It is important to note that resetting an experiment will not preserve the initial user group assignments, which may be critical for long-term metric collection and analysis. To monitor the performance of long-term metrics after an experiment has ended, the Metrics Explorer can be utilized. While it does not provide confidence intervals and p-values, it does offer absolute numbers for each metric across all groups in the experiment.

For future experiments, it is recommended to enable Reviews in the project settings to provide better oversight and prevent similar situations. Reviews offer guardrails that can help in managing changes that impact production environments.

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What builders love about us

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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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