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 I sort and filter experiment metrics by statistical significance in Statsig?

Date of slack thread: 4/29/24

Anonymous: Hey Statsig, Whenever I review my experiment results, I find it hard sometimes to get a proper view of all stat sig metrics. I’d love to have a way to sort metrics results by “Delta” so all positive or negative results would pile together. Another great thing to have is a way to filter in only stat sig metrics and not see neutral ones. Is there currently any way to do that?

Lin Jia (Statsig): Hi Ehab! If you click Settings on the upper right to your Scorecard, you should see a Sort toggle which allows you to sort by default/p-value/effect size. I think sorting by p-value will give you the desired outcome of piling stat-sig results (positive or negative) at the top, then everything else below. Let me know if that works?

Anonymous: This worked perfectly. I knew I must be missing something. Thanks a lot.

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Brex Brex
Notion Notion
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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.
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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