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 view all event dimension groups in Statsig's Metrics Explorer?

Date of slack thread: 4/30/24

Anonymous: Hi - general question about grouping pulse metrics by an event dimension: it looks like the UI limits viewing to only 10 groups (with the remaining in “Other”) - is that true?

If so, is there a way to see pulse metrics grouped by all available event dimensions?

I attempted to do this in the Explore / Custom Query and saw what seems to be the same limitation too.

Tyler (Statsig): Hey - yeah unfortunately this is a limitation. You can use Metrics Explorer (https://www.statsig.com/metrics/explore) to check this out without confidence intervals if you want to dive deeper on some of those more niche values though - doing a query along these lines.

Tyler (Statsig): The difference between these surfaces being: Experiment results are computed off of daily pipeline runs that have limitations on how many fields we can expand out - whereas Metrics Explorer is doing live queries off of events you send/forward to us, so can be a bit more flexible with what filters it’s applying.

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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
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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