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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.

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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.”
Lime
Omar Guenena
Engineering Manager
“The beauty is that Statsig allows us to both run experiments, but also track the impact of feature releases.”
Plex
Evelina Achilli
Product Growth Manager
“Statsig is my most recommended product for PMs.”
Bright Data
Erez Naveh
VP of Product
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