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New & Improved Custom Queries

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12/4/2023
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✨ New & Improved Custom Queries

Today, we’re starting to roll out a complete refresh of our Custom Queries feature. Here’s what’s changing:

  1. Performance-Custom Queries are a key part of analyzing your experiment results. We’ve brought down query time from 10-15 minutes to 2-3 minutes, speeding up your iteration cycle times and ensuring you can get to the answer you’re looking for faster.

  2. Query UX- We’ve completely overhauled the Custom Query UX to feel closer to our MEX query UX, so this should feel like a familiar interface to navigate!

  3. Filter/ Group by Event Dimensions- In addition to filtering/ grouping by User Dimensions, we’ve added the ability to filter/ group by Event Dimensions.

  4. Improved Detail View- Now, you can see the details of your Custom Query Pulse results via a hovercard similar to what you see in the Scorecard, with raw stats, time-series (coming soon), and topline projected impact.

Some aspects of Custom Queries are remaining the same, such as the ability to save, name, and share your historical queries, as well as the ability to schedule a Custom Query to run daily in the “Scheduled” tab.

Read more about the new Custom Queries product here, and let us know if you have any feedback!

Custom Query UX

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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.
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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.
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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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Partha Sarathi
Director of Engineering
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