Experimentation platform shopping list: What to look for as a buyer

Evaluating a modern experimentation platform requires consideration of both intangible qualities and technical capabilities, as these factors significantly impact successful experimentation outcomes. It's essential to assess a company's track record of innovation and product releases, as well as the quality of customer support, to avoid potential stagnation after committing to a provider. Platforms like Statsig, founded by ex-Facebook engineers, emphasize the importance of product experimentation beyond basic feature-flagging and web-testing, highlighting the need for robust support for complex use cases and integrations. Effective platforms should offer real-time insights, debugging tools, and support for multiple environments, ensuring that experiments are conducted efficiently and transparently. Additionally, these platforms should enable deep data analysis by providing access to underlying experiment data, supporting various statistical methods, and ensuring seamless server-to-server integrations. The performance of the platform's tools and their impact on application performance are also critical considerations, as is the ability to govern access at a granular level to accommodate diverse organizational needs.

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