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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

Why are entries not showing up in the "Exposure Stream" tab of the experiment?

If you're not seeing data in the "Exposure Stream" tab, there could be a few reasons for this. Here are some steps you can take to troubleshoot:

1. Check Data Flow: Ensure that the id_type is set correctly and that your ids match the format of ids logged from SDKs. You can check this on the Metrics page of your project.

2. Query History: If your data is still not showing up in the console, check your query history for the user to understand which data is being pulled, and if queries are not executing or are failing.

3. Data Processing Time: If data is loading, it's likely we're just processing. For new metrics, give it a day to catch. If data isn't loaded after a day or two, please check in with us. The most common reason for metrics catalog failures is due to id_type mismatches.

4. Initialization Status: Each hook has an isLoading check, which you can use, or the StatsigProvider provides the StatsigContext which has initialization status as a field as well. This can be used to prevent a gate check unless you know the account has already been passed in and reinitialized.

If you've checked all these and are still experiencing issues, please let us know. We're here to help!

In some cases, the issue might be due to the way you are accessing the layer config and getting the value of the config. When you manually reach into the layer config and get the value of the config, we won’t know when to generate a layer exposure. For example, if you have a line of code like this:

const config = statsig?.getLayer('landing_page_gg')?.value;

While this will give you the value of the config, it won’t generate exposures and your experiment won’t work. In order to generate the correct exposures, you will need to get the Layer object and ask for the values using the “get” method. Like this:

const layer = statsig?.getLayer('landing_page_gg'); const block_1 = layer.get('block_1', '');

And similarly for other parameters you have defined in your layer.

If you are pulling multiple values at once and they control the same experience, it is recommended to pack them into a single parameter. However, if the parameters affect experiences in multiple locations, keep them separate. If you are pulling everything in one shot, treat them as a single object value. Use the json type. You could also just add a new parameter to the current experiment that has all the other values. There's no need to create a new experiment if you don’t want to.

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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
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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