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.
Connect with our data scientists and engineers, and ask questions or just hang out with other cool folks that believe in an experimentation culture!
Modern feature flags, rollouts, and configs for your whole team. Say goodbye to free trials, seat-based pricing and the hassle of maintaining in-house tools.
Never nag your Data Science counterpart for experiment updates again with accessible experimentation, allowing teams to launch and learn 10x faster
Modern feature flags, rollouts, and configs for your whole team. Say goodbye to free trials, seat-based pricing and the hassle of maintaining in-house tools.
Automate experiment analysis with world-class tooling, giving your team time back to focus on deeper analyses.