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 ensure Statsig events capture metadata correctly without awaiting the event logging?

Date of slack thread: 5/10/24

Anonymous: Hello. We are facing a scenario on our checkout where we trigger statsig event as soon as we get payment confirmation from our service. Upon successful response, we redirect user to order confirmation screen; but before that we clear checkout details from our client side store. In few scenarios, we get empty values in our event meta as statsig event had fired with meta from those details it got cleared since event was awaited. Any approach we could use to keep the track for each event without losing meta? Could we fire event without awaiting it?

Vijaye (Statsig): The bot is right. What I’d recommend is capture all the metadata in a local object. Then use that object to log the data to statsig and then clear your fields.

Anonymous: What if we don’t want to store the data? Any way we could bypass statsig await?

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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.
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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