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

Why can't I filter user properties in the Pulse Results explore anymore?

In the Explore tab of Pulse Results, you can use user dimensions to drill down and explore results. However, the user properties you can segment on are only derived from exposure events, not custom events. Any overrides that are used to force a user into the test will be ignored from pulse results. If you only have override userIds in the results, nothing will show up in the pulse filters. If you're having trouble finding a specific user property, it might be due to these reasons.

It's also important to note that the availability of User Dimensions can vary depending on the gate/experiment you’re querying on. Some entities have User Dimensions available, some don’t based on whether there are exposures or not.

Regarding the issue of error ranges for Daily Topline Impact and Daily Projected Launch Impact not populating, this was due to a bug that occurred during our internal migration of infrastructure and data. We have fixed this bug and it affected certain metric types. All new custom queries should not have a problem. For some metrics, the topline impact could have a 0 as the CI, because all users can have the value of 1 if the metric is an indicator. However, we'll do an audit to make sure the calculation is consistent with our scorecard.

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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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