March 2026 monthly summary focusing on delivering measurable business value through improved UI performance telemetry and data integrity for Perfetto. Key outcomes include more accurate UI frame rendering metrics by extending the frame timeline to account for blocking calls beyond the current frame and stabilizing frame boundary definitions, and the creation of a unified unique ID scheme for jank and latency CUJs to prevent downstream ID duplication. These changes enhance reliability of dashboards and enable data-driven UI optimizations. Validation included trace-processor tests and compatibility checks with standard tooling (tools/diff_test_trace_processor.py, trace_processor_shell). Technologies involved span Perfetto trace processor, frame timeline analysis, doFrame/Choreographer logic, and SQL schema design for CUJ IDs; demonstrated collaboration, testing discipline, and tooling proficiency.