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

Does switching to the native Statsig event logger provide more real-time analysis for UK businesses?

Switching to the native Statsig event logger does not inherently change the synchronization time to Pacific Standard Time (PST), as the synchronization schedule is consistent regardless of the logging method. However, the Statsig client SDK does facilitate more real-time data capture by automatically flushing logged custom events to the Statsig servers every 10 seconds.

For experiment results, Statsig has implemented a more frequent refresh window. During the first day of an experiment, results are computed hourly. After the initial 24-hour period, the results are then refreshed on a daily basis.

It is important to note that these computations are based on a day defined from midnight to midnight PST. For businesses requiring synchronization in Coordinated Universal Time (UTC), Statsig offers the ability to switch to UTC, but this is an option available exclusively for Enterprise customers. This is due to the additional costs associated with maintaining a separate pipeline for UTC synchronization.

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What builders love about 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.
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.
Karandeep Anand
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.
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.
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.
Partha Sarathi
Director of Engineering
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