A/B testing has become an integral part of product development, enabling organizations to make data-driven decisions based on the performance of their website, app, or product. However, building an A/B testing system from scratch can be a daunting task, especially for organizations with limited resources and technical expertise, and partly due to the lack of resources and guides on how to properly do it. This session will provide a guide for building an A/B testing system from scratch. The session will cover topics such as bucketing, splitting, feature toggling and avoiding common pitfalls. Whether you are a data analyst, data scientist, or developer, this session will equip you with the knowledge and skills needed to build and implement a successful A/B testing system that can drive business growth and success.
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