Platform
Developers
Resources
KEY FEATURES
GETTING STARTED
Documentation
Documentation to get you started with implementation
Walkthrough Guides
Guides to get you started with Statsig in no time
SDKs and APIs
Explore REST API and SDKs in more than 20 frameworks
Integrations
Learn more about connecting Statsig to your existing tools
A/B Testing Calculator
Looking for a place to start your A/B Test? Try out our calculator
How Statsig Works
Get under the hood and check out how Statsig scales with you
LEARN & CONNECT
Blog
Peak Velocity is our blog where we cover the latest in data
Support
Need help getting set up or have questions about our product?
Customer Stories
Find out how leading companies are using Statsig to grow
Events
Find out about our online and offline events and RSVP to them
Build vs Buy
Compare building an in-house platform vs. buying
Contact Sales
Want to connect with someone from the Sales team?
FEATURED BLOGS
Feature Flags Liberated
Gating features is a core part of the development process. And with Statsig, it's free.
How AI Companies Use Statsig
The best AI companies use Statsig to accelerate growth. Learn how you can do the same.
What is Product Observability?
Product observability means being able to monitor, control, and gain insight into all of your features.KEY FEATURES
GETTING STARTED
Documentation
Documentation to get you started with implementation
Walkthrough Guides
Guides to get you started with Statsig in no time
SDKs and APIs
Explore REST API and SDKs in more than 20 frameworks
Integrations
Learn more about connecting Statsig to your existing tools
A/B Testing Calculator
Looking for a place to start your A/B Test? Try out our calculator
How Statsig Works
Get under the hood and check out how Statsig scales with you
LEARN & CONNECT
Blog
Peak Velocity is our blog where we cover the latest in data
Support
Need help getting set up or have questions about our product?
Customer Stories
Find out how leading companies are using Statsig to grow
Events
Find out about our online and offline events and RSVP to them
Build vs Buy
Compare building an in-house platform vs. buying
Contact Sales
Want to connect with someone from the Sales team?
FEATURED BLOGS
Experiments with Generative AI
We built a generative AI app in reactJS using OpenAI’s API and Statsig. Here’s what we learned:
Experimentation Platforms
The decision to build versus buy an experimentation and feature flagging platform is not an easy one.
CUPED Explained
CUPED is an implementation that uses pre-experiment data to explain the variance in the result data.10x your Experimentation Velocity
Faster decisions lead to faster iterations.
Leverage experimentation to improve your velocity.
Learn more, faster, and avoid costly mistakes.
Data is the most trustworthy decision-maker
With Statsig, your results do the heavy lifting. The insights that
you collect from your experiments become the basis upon which you
build. When every feature and configuration is an experiment,
you’re always optimizing
Experiment like the Professionals
Automate experiment analysis with the most sophisticated and
trusted stats engine in the industry. Built for data scientists,
by data scientists
Flexible, Automated Experimentation
Flexible, Automated Experimentation
- Coding-Optional Experimentation Analysis
- Run in your Warehouse or Ingest Your Data
- Support for Frequentist and Bayesian Analysis
- User Identity Resolution
Trustworthy, Verifiable Results
Trustworthy, Verifiable Results
- Fully Documented Stats Methodology
- Automatic A/A testing
- Exports for Raw Data and Summary Stats
- Health Checks (SRM, pre-experiment bias)
Mature SDK Functionality
Mature SDK Functionality
- Mutually Exclusive Experiments
- Managed Holdouts
- Switchback Testing
- Advanced User Targeting & Segmentation
Advanced Treatments and Controls
Advanced Treatments and Controls
- Sequential Testing
- Outlier Management (Winsorization)
- Variance Reduction (CUPED)
- Control for Multiple Comparisons
Join the #1 Community for Product Experimentation
Connect with a like-minded group of data scientists and engineers
tackling the same challenges as you
- A breadth of experimentation topics
- Insights from hands-on experimenters at top companies
- Practical tips you can't find anywhere else
- No questions unanswered
The benefits of experimentation
Product Observability combines experimentation with real-time
analytics to give you a 360° view of your product and business.
For the first time, you can see which features are driving your
business core metrics
Deliver consistent user experience
Ensure that each user sees the experience you want them to see,
whether they’re logged into your application or not.
Build conviction based on evidence
Statsig highlights statistically significant shifts across all your
metrics for each experiment. Raise the bar with confidence.
Turn every rollout into an A/B test
Any partial rollout to a set of equivalent users is enough for an
A/B test. Using Statsig feature flags to roll out new features gives
you observability into the impact your rollout has.
What builders love about us
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