March 2026 monthly summary for mozilla/experimenter: Delivered an expanded audience targeting configuration for the Guidance Notification GIF experiment to improve sample size by including Windows 11 users and English users on specific Firefox versions. Implemented a temporary, experiment-scoped targeting rule that will be removed after the experiment concludes. No major bugs fixed this month; primary value centers on faster, data-driven validation of user guidance messaging.

January 2026 performance summary for mozilla/probe-scraper: Implemented and extended Microsurvey Data Retention Policy to support longer-term reanalysis and analytics. Policy update extends retention from 90 days to 365 days, enabling reanalysis up to one year and improving data governance. Changes were coordinated with UR data needs and documented through targeted commits, delivering measurable business value with minimal maintenance overhead and clearer data-retention standards.

Summary for 2025-08 (mozilla/experimenter): Implemented precise Windows 10 targeting experiments for EOS sync toast, including new enrollment-based eligibility controls and OS-version exclusions. Fixed a critical enrollment slug oversight to ensure the EOS toast is shown to the intended treatment group, enabling safer, data-driven rollout of Windows 10 experiments. The work strengthens targeting precision, reduces experimental leakage, and demonstrates end-to-end configuration management and cross-team collaboration.

July 2025 monthly summary for mozilla/experimenter. Focused on delivering targeted experimentation improvements to support Windows 10 End-of-Support (EoS) testing. Key feature delivered was the Windows 10 EoS Sync experiment targeting configurations, enabling precise audience eligibility based on OS version, Firefox Account status, account age, and absence of enterprise policies. This work is documented by commit 329b13546fc21e6440aa669e4b79edd34edfc65a ("Add advanced targeting for Win10 EoS Sync experiment (#13062)"). No major bugs were recorded for this period. Impact: improved data quality and safer rollout of EoS experiments through finer-grained targeting, reducing noise and enabling more confident decision-making. Technologies/skills demonstrated: targeting logic design, experimentation framework usage, version control discipline, and cross-functional collaboration with the mozilla/experimenter repo.

June 2025: Delivered targeted experimentation capabilities and analytics instrumentation for VPN promotions across two Mozilla repositories, enabling data-driven decision-making and faster iteration cycles. The work focused on designing and implementing targeted exposure criteria and robust telemetry for measuring campaign performance.