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.

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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.

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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.

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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 our customers say about us

“We realized that Statsig was investing in the right areas that will benefit us in the long-term.”
Omar Guenena
Engineering Manager
“Statsig gives Tavour best in class feature flag management combined with unparalleled A/B testing.”
Philip Vaughn
“[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed.”
Matteo Hertel
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