HOW TO BUILD A SCALED EXPERIMENTATION ENGINE

Summary from the TLDR Founders newsletter

Companies like OpenAI and Notion test almost everything they ship, moving beyond basic A/B testing to full experimentation engines. This approach rests on three pillars: trustworthy experiments that handle outliers and account for initial excitement around new features, strong institutional memory so teams don't repeat tests others have already done, and a data culture where everyone uses the same metrics and values truth over looking good. To build this in your company, avoid common mistakes like checking results too early or ignoring negative impacts on important customer segments, and focus on making it easy for teams to document and share what they learn across the organization.