๐Ÿ” Focused Analysis with Top Group Limits

Statsig Product Updates
< All updates
10/25/2024

Akin Olugbade

Product Manager, Statsig

๐Ÿ” Focused Analysis with Top Group Limits

Use Case

Imagine youโ€™re analyzing user behavior across segments like browser types, referral sources, or search terms. Applying a group-by might return a long list of groups, many with minimal impact on your metrics. This volume of data can make it difficult to focus on the most significant segments.

Why Itโ€™s Important

By setting a limit on the number of groups displayed, you can reduce clutter and concentrate on the segments that matter most. This helps you avoid distractions from less impactful data points and enables you to focus on meaningful insights that can inform your decisions.

What It Does

When applying a group-by in your charts, you can now specify a limit on the number of groups returned. The groups are sorted by the highest value of the metric youโ€™re analyzing, so youโ€™ll see only the top-performing segments. To use the feature click the "..." in the group-by section and select "Add Group-By Limit"

group-by-limits

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

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
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. Itโ€™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
We use cookies to ensure you get the best experience on our website.
Privacy Policy