πŸ” Filter Analysis by Features and Experiments

Statsig Product Updates
< All updates
12/12/2024

πŸ” Filter Analysis by Features and Experiments

Now you can limit your metric analysis to users who saw specific versions of features (through feature gates) or were part of specific experiment variants. This lets you measure exactly the user experience you want to understand.

What You Can Do Now

  • Filter metrics by feature gate rules to analyze specific user experiences

  • Focus on experiment variants to understand test results

  • Track metrics for specific feature versions and variants

How It Works Select your metric, then use the filters to choose any feature gate rule or experiment variant. Your analysis will show data only for users who match those criteria.

Impact on Your Analysis This improvement helps you analyze feature performance more precisely:

  • Compare metrics for different feature versions

  • Validate experiment results for specific features

  • Debug issues by isolating exact user experiences

Deeper Understanding Through Sessions Combine these filters with Session Replays and Session Streams to see exactly how users experience your features. Watch full session recordings or follow event streams to understand the context around specific feature interactions.


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Why the best build with 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. 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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