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

Why can't I adjust the dates in the scorecard for my old experiment?

If you're unable to adjust the dates in the scorecard for your old experiment, it could be due to the experiment's end date being set in the past. When an experiment is created, it is marked with a specific completion date. If you want to extend the experiment or adjust the dates, you have two options:

1. Clone the existing experiment and restart it, making sure to set the experiment end date to the desired date or mark it as ongoing.

2. Reset the experiment from the same menu and restart it from there.

After resetting the experiment, you can change the end date. However, you might notice that the pulse loading takes a longer time than usual. This is not normal even for this experiment. The Wall time, which is the total "real time" it took to run the job, from when it started to when it finished, might be longer than the job time, which is the actual compute time run on your warehouse. This could be due to transient network errors communicating with your warehouse, which is unusual. If you encounter this issue, it's recommended to flag it for assistance.

Join the #1 Community for Product Experimentation

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

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
We use cookies to ensure you get the best experience on our website.
Privacy Policy