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.
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.
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.