Funnel analysis tools such as Mixpanel, Amplitude, and Statsig’s Metrics Explorer are essential for understanding user journeys and enhancing product experiences by identifying where users drop off. Although these tools provide granular insights by breaking down user journeys into discrete steps and respecting event order, there are challenges in integrating funnel metrics with experiments, as they often require manual tagging and may not fully capture user behavior. Statsig’s Warehouse Native simplifies this analysis by offering session-level granularity and named steps for clear communication. While funnel metrics are insightful for understanding feature-level impacts, they should be used alongside topline evaluation criteria to avoid bias, as they are inherently ratio metrics prone to mix shift issues. The text also highlights the importance of effective communication and visualization in funnel analysis and the role of these metrics in shaping strategic initiatives. Additionally, the text mentions CUPED for faster experiments and alludes to the evolution of experimentation platforms, including insights from industry experts on building a strong experimentation culture.