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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 I measure metrics directly within dynamic configs in Statsig?

Date of slack thread: 5/9/24

Anonymous: Hi! I am testing copy with dynamic configs. Is there a way to look at metrics directly within dynamic configs, or do I need to set the rules of dynamic configs to be based on a feature gate and track metric lift within that?

Statbot: Dynamic Configs in Statsig do not inherently support direct measurement of metrics or the generation and download of exposure logs. To measure the impact of rollout or look at metrics, you will need to combine Dynamic Configs with Feature Gates or Experiments. By doing so, you can leverage the functionalities of Feature Gates or Experiments, such as exposure logging and metric lift measurement, while still utilizing the targeting capabilities of Dynamic Configs [Documentation URL]. This thread has been marked as resolved. Press below to re-open.

Tyler (Statsig): Confirming the bot is correct! Will also flag that the parameters of an experiment are also a way to get back blobs of data (rather than just the true/false of a gate) - but yeah if you have a rule in your dynamic config that’s “Passes gate xxx” - you’ll be able to see measurements on that gate (assuming it’s not 0% or 100% pass).

Anonymous: Ok got it thank you!

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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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