Developed comprehensive interaction detection documentation for the Eppo-exp/eppo-docs repository, supporting experimentation workflows within the Eppo platform. Focused on assignment dependence and interaction effects, the work provided practical guidance, statistical methods, and real-world examples to help product and data science teams detect and interpret interaction alerts. Leveraged Markdown to create a reusable documentation structure that streamlines future content additions and onboarding processes. Emphasized technical writing and documentation best practices to enhance cross-team alignment on experimentation standards. The resulting documentation enables data-driven decision making by clarifying detection methods and interpretation strategies, contributing to more reliable and scalable experimentation across teams.