πŸ“‹ Custom Experiment Checklist

Statsig Product Updates
< All updates
8/13/2024

Shubham Singhal

Product Manager, Statsig

Custom Experiment Checklist

We're thrilled to announce the launch of Custom Experiment Checklist, a new feature that empowers admins to tailor the experimentation guidelines to their company's specific needs. This feature allows you to replace the default Statsig experiment checklist with your own custom checklist that follows internal best experimentation practices.

Benefits:

  • Ensure adherence to company-specific best practices

  • Foster a unified experimentation culture across your organization

  • Increase the quality and consistency of experiments

Why we built this:

Over the past few months, our customers expressed a desire for more flexibility in configuring experiment guidelines within Statsig. We listened, and Custom Experiment Checklist is our response to this valuable feedback. Custom Experiment Checklist is now available for all users. To get started, navigate to your Organizational settings and look for the new "Experiment Checklist" option.

We're excited to see how this feature will enhance your experimentation process. As always, we welcome your feedback and suggestions for further improvements.


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Why the best build with 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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