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🧮 New Metric Types on WHN

Statsig Product Updates
< All updates
3/7/2024

🧮 New Metric Types on Statsig Warehouse Native

We added two new metric types and more configurability on CUPED on metrics.

Count Distinct Metrics : We added a new metric aggregation for COUNT DISTINCT that counts the unique occurrences of each value. Learn more

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Latest Value Metrics : If you only care about a count of the current state of a users (e.g. Is the user a subscriber today), use this. Configure the Time Window to be Latest Value on a User Count Metric for this. Learn more

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Configurable CUPED Windows : CUPED is an advanced statistical technique that speeds up experimentation. It reduces the amount of time or users required, by reducing metric variance by looking at pre-experimental metric history for users. You can now configure the CUPED lookback window (pre-experimental period) per metric to match your app's usage pattern for it to be useful (e.g. if users are typically only monthly active users, you can configure the CUPED look back period to be a month). Learn more

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OpenAI OpenAI
Brex Brex
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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
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.
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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