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 are some metrics showing as "unavailable" in my ongoing experiment?

In the event that some metrics in your ongoing experiment are showing as "unavailable", it could be due to an issue with how your events are being logged or matched with the experiment groups. To resolve this, ensure that the events you're sending include the same identifier (either userID or stableID) as the one used in your client SDKs for the experiment. This will help Statsig join the events with the correct experiment groups.

It's important to note that exposures on the last day (the day you made a decision) are not counted as exposures. Therefore, when analyzing your data, remember to filter out that day.

If you're still experiencing issues, it might be helpful to check your query history for the user to understand which data is being pulled, and if queries are not executing or are failing.

In some cases, metrics may temporarily show as unavailable due to Statsig recomputing the metric for the latest numbers. However, these metrics should become available once the final aggregated data is uploaded and any issues with this process are resolved.

If the issue persists, please let us know and we'll have a Statsig team member assist you further.

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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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