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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
EXPERIMENTS

Will users be reassigned in an experiment if their qualifying properties change?

When a user qualifies for an experiment based on certain user properties and is assigned a variant, their allocation to that variant is deterministic and will remain consistent throughout the experiment, even if their qualifying properties change and they temporarily no longer qualify for the experiment.

If a user's properties change such that they no longer meet the experiment's qualifying criteria, they will receive the default parameter values until their properties revert to a state that re-qualifies them for the experiment. Upon re-qualification, the user will be reassigned to the same variant as initially allocated.

This deterministic allocation ensures that a user's experience remains consistent across multiple sessions and that the integrity of the experiment is maintained. The allocation is based on a stable identifier, such as a userID or stableID, which allows for consistent group assignment upon re-qualification.

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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.
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
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.
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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