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

How can we conduct QA for an experiment if another experiment is active on the same page with an identical layer ID?

To conduct Quality Assurance (QA) for your experiment while another experiment is active on the same page with an identical layer ID, you can use two methods:

1. Creating a New Layer: You can create a new layer for the new experiment. Layers allow you to run multiple landing page experiments without needing to update the code on the website for each experiment. When you run experiments as part of a layer, you should update the script to specify the layerid instead of expid. Here's an example of how to do this:

html <script src="[API_KEY]&layerid=[LAYER_NAME]"></script>

By creating a new layer for your new experiment, you can ensure that the two experiments do not interfere with each other. This way, you can conduct QA for your new experiment without affecting the currently active experiment.

2. Using Overrides: For pure QA, you can use overrides to get users into the experiences of your new experiment in that layer. Overrides take total precedence over what experiment a user would have been allocated to, what group the user would have received, or if the user would get no experiment experience because it is not started yet. You can override either individual user IDs or a larger group of users. The only caveat is a given userID will only be overridden into one experiment group per layer. For more information, refer to the Statsig Overrides Documentation.

When you actually want to run the experiment on real users, you will need to find some way to get allocation for it. This could involve concluding the other experiment or lowering its allocation.

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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.
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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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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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