Why buying an experimentation platform makes more sense than building one

In recent years, many organizations have shifted from developing in-house experimentation platforms to adopting third-party solutions like Statsig, which offer faster implementation and advanced capabilities. Building an in-house system can delay innovation on core products due to the extensive time and resources needed to develop essential features such as data logging, statistical computations, and user-friendly interfaces. Additionally, the total cost of ownership for in-house platforms can be substantial, requiring specialized talent and continuous optimization of infrastructure costs. Companies like Notion and Lime have significantly increased their experimentation velocity by utilizing external platforms, which provide world-class research and development, advanced statistical methodologies, and features that ensure trustworthy results. This approach allows companies to focus on unique business challenges and strategic initiatives, fostering a standardized and scalable experimentation culture.