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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GENERAL

Can the same experiment be reused in different countries without affecting data integrity?

Date of slack thread: 5/8/24

Anonymous: Hello! Is it possible to launch the same experiment multiple times? I was thinking of the scenario of reusing the same experiment in different countries, but not at the same time.

Anonymous: It is still not clear what happens to the data or experiment results. Let’s say I launch the experiment in the UK first, I stop it, gather result and then I restart it for France. Will the second run have fresh data?

Tyler (Engineer - Statsig): Hey <@U06TWJJP05A> - it’ll depend a bit on what you’re hoping to have happen - so I’ll just walk through the implications.

  1. When you restart the experiment, it will restart for everyone - so if you’re still checking the experiment in code for your UK users, it’ll “restart” it for them even when you try to do that run for French users a. Restarting an experiment will also re-randomize any users who might have seen it on a previous iteration
  2. When you restart an experiment - we do preserve the results from the previous run of the experiment. If you use the triple dot to “View History” for the experiment - you should see a line item for resetting the experiment, that will have a link to those prior results

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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.
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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.
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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.
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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.
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Partha Sarathi
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