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

Can I visualize variant performance throughout the user journey on Statsig using a Sankey chart?

At present, Statsig does not support the use of Sankey charts for visualizing user journeys. However, you can utilize funnel metrics to track user journeys within your application. These funnel metrics can be highly customized to provide insights into how changes influence each step of the user journey, either at the user level or at the session level.

To create funnels in Statsig, navigate to Metrics -> Explore -> select “Funnel” in the dropdown menu. Please note that this is a beta feature and currently does not support having experiment exposures in the steps. However, this is a feature we are considering for future development in our analytics offerings.

While visualizations like Sankey charts can be useful, they often struggle to effectively represent small changes, such as 5% deltas, in experimentation. Therefore, even if the conversion rate doubled (+100%), it might still be challenging to spot in a Sankey chart. We are actively investigating this area and are open to customer feedback to find an ideal visualization method.

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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.
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.
Karandeep Anand
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.
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.
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.
Partha Sarathi
Director of Engineering
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