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 resolve feature gate evaluation issues in Statsig?

Date of slack thread: 6/7/24

Anonymous: Hi, I’m trying to get my first feature gate running and I’m not able to get it to evaluate to true. This is what it looks like. I’ve tried a key associated with both my development and pre-dev environments, and I’m not specifying any options. When I choose Test Gate, it fails there too. Stats seem to indicate that there have been no checks yet, but I triple checked the gate name. What would be the next thing to try?

Anonymous: A bit more information: when I copied my server secret key into the browser test app, the Result never changes from “Not Checked”.

Anonymous: Got it working. I had to specify a tier explicitly. FYI, the documentation on this page is out of date. It says that the tier method takes an enum and the only accepted values are PRODUCTION, STAGING or DEVELOPMENT. It now appears to take a string. My guess is that the SDK was updated when you introduced custom environment tiers but the documentation wasn’t properly updated.

https://docs.statsig.com/server/javaSdk

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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.
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Dave Cummings
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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.
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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.
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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.
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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.
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Director of Engineering
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