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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
ANALYTICS

How do I filter by User Segment in a Dashboard or Chart?

To filter by a specific user segment within a dashboard or chart, you can utilize the Metrics Explorer feature. Here, you can create or edit a chart and apply filters to individual metrics based on User dimensions.

When you need to filter by a particular user segment, you can select the 'Filter with User ID Segment' option. This feature allows you to define a user segment based on an ID list or set conditions that users must meet to be included in the segment. After applying the necessary filters and configuring your chart, you can export it to your dashboard.

Any modifications made to the chart in the Metrics Explorer will be reflected in the dashboard once saved. Additionally, you can adjust an existing dashboard by entering the edit mode and adding filters or cohorts through the settings panel on the left. This approach enables you to apply user segment filters directly within the dashboard environment.

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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.
OpenAI
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.
Brex
Karandeep Anand
CPO
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.
Notion
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering
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