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

Did Autotune Get Removed from the Pro Cloud Tier?

Date of slack thread: 6/6/24

Anonymous: Did autotune get removed from the pro cloud tier? As I can’t seem to find it on our instance of Statsig.

Statbot: Hello! Autotune is a feature within Statsig that allows for automatic optimization among a group of variants for a single target metric. If you’re unable to find Autotune in your Pro Cloud tier, it might be due to a variety of reasons, such as changes in the tier offerings or specific configurations for your account. To locate Autotune, you should navigate to the Autotune section on the Statsig console. If it’s not visible, it’s possible that there may have been updates or changes to the availability of features within your tier. I recommend checking the console and ensuring that you’re looking in the correct section. If you still can’t find it, please share the link to your Autotune section so that a team member can assist you further [source].

Statbot: Click below to mark as resolved.

Cooper Reid (Statsig): It lives under Experiments tab now

Anonymous: Ahhh thanks

Statbot: This thread has been marked as resolved. Press below to re-open.

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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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Dave Cummings
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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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Karandeep Anand
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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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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.
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Partha Sarathi
Director of Engineering
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