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.
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GENERAL

Have There Been Changes to Statsig's Slack Integration for Notifications?

Date of slack thread: 7/25/24

Anonymous: I noticed that there have been some Statsig UI changes - have there also been changes to the Slack integration? We have kept the same configuration for Slack (screenshotted below), and have recently been getting notifications in our channel for metric changes (including metric directionality changes) in our slack channel meant for experiment/gate changes only. Previously, this did not happen. Is this a bug or do I need to change something in the configuration to prevent the increase in noisy notifications?

Kenny Yi (Statsig): Hey Lindsey, sorry about that, we did make some changes to support a wider range of change logs. But perhaps we pushed this out too pre-emptively. We are planning to add additional filter options based on the config type (e.g. experiment, gate, dynamic config, etc). That should allow you to filter out changes to metrics, etc.

Anonymous: When will the additional filter options be rolled out?

Kenny Yi (Statsig): Should be in the next 1-2 weeks. But I’ve turned off this change for your project for now.

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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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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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