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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

How can we clean up bot-affected experiment data in Statsig?

Date of slack thread: 5/21/24

Anonymous: Hi Team, We have an in progress experiment, and in one of the days some crazy bot messed up the results triggering an event way too many times. Is there a way to clean up statsig results and remove that data on the next recompute?

Tyler (Statsig): Hey <@U067TD4EH45> - depending on how identifiable the bot is there’s a few things you might be able to try.

If you know there’s only a few days in an otherwise long running experiment that got impacted - you could try a custom query (using the explore tab of pulse) to filter out those days (CMD+Click on the datepicker).

If you know the ID the bot would have been using - you can actually just explicitly filter out that user using that advanced option under the explore tab. Happy to offer more in-depth instructions there if it is the case that you know “The bot was userID XXXX”

Anonymous: Thanks

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Why the best build with 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.
OpenAI
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.
Brex
Karandeep Anand
President
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.
Notion
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering
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