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Data Science

Automate experiment analysis with world-class tooling, giving your team time back to focus on deeper analyses.
Data Science

Experiment like the best

Experimentation best practices are often locked up in big tech companies. As a former Facebook / Google / Uber team ourselves, we meet with experts from these companies regularly to discuss common problems with scaling experimentation and building a data-driven culture, which in turn informs our product.

Data Science 1

Trust & transparency

At Statsig, we believe all teams should easily be able easily understand and verify results. This means we don’t use any black box algorithms, only well-recognized statistical methods and industry best practices.

With Statsig, it’s your data. We provide access to critical Statsig-generated datasets on-demand, that help you trust what we’re doing while providing the ability to validate our methods and run your own custom analyses.

Data Science 2

Uplevel your Data Science team

Automate tedious experiment analysis work, allowing data science teams to focus on higher-value work.

With tools like Target Duration tracking and Sequential Testing, enable cross-functional stakeholders to check in on the status of an experiment themselves, without worrying that they will prematurely reach the wrong conclusions.

Data Science 3
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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
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Try Statsig Today

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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
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
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