Appetite for Risk — A/B Testing in Fast-Paced Environments
Rigorous statistics are often at odds with the needs of modern, product-driven companies to move fast and ship fast.
Rigorous statistics are often at odds with the needs of modern, product-driven companies to move fast and ship fast.
Growth Book now natively supports ClickHouse as a data source for experiment data. ClickHouse is a popular open source data warehouse/OLAP…
We’ve recently added an SDK for A/B testing in Python. Like our other software, this is also open source.
Auth0 is a great way to quickly integrate authentication with your app. We used it at Growth Book when getting started with our MVP. One…
We’re excited to announce the release of Growth Book Experimentation Platform under the MIT license. Recently we’ve had
Earlier today Snowflake announced the 10 semi-finalists for their 2021 Startup Challenge contest. We were very pleased to hear that
There are many prioritization frameworks out there for A/B tests (PIE, ICE, PXL, etc.), but they all suffer from
Tesla’s designer confusingly try to show the state and how to perform an action to change the state on the same element.
What is multi-arm bandit testing, how does it compare to regular A/B testing, and what are some of the reasons you should or should not use it?
Discussing the pros and cons of building vs buying an A/B testing platform.
Often companies run A/B tests which show positive results, and yet when overall metrics are examined, the impact of these tests is…
Adapting a robust A/B testing program not only drove growth, it also improved our company culture
In under two minutes, GrowthBook can be set up and ready for feature flagging and A/B testing, whether you use our cloud or self-host.