Mixpanel's Experimentation 2.0 represents a major overhaul of their experimentation system, now integrated with Feature Flagging to streamline the process from observation to action within a single platform. This re-architecture allows teams to conduct experiments using existing behavioral analytics data without needing to export or rebuild metrics, enabling faster iteration and data-driven decision-making. The new system offers enhanced capabilities such as reusing trusted metrics for hypothesis testing, connecting results to session replays and metric trees, and targeting users with precision through existing cohorts. The platform's integration ensures seamless workflows, reducing data silos and drift, and supports both experimentation specialists and business teams with a user-friendly interface. Built to accommodate varying tech stacks, Experimentation 2.0 is adaptable and designed for future growth, promising deeper workflow integration and AI-assisted features to enhance cross-functional collaboration and innovation. Available for Enterprise plans, the updated system aims to facilitate continuous innovation and measurable impact in product development.