Month: 2026-04 – Delivered a focused Split View feature experiment in mozilla/metric-hub with retention analytics instrumentation. Implemented a custom config for the splitview feature notification experiment to measure user retention and engagement, and stabilized the configuration to ensure reliable experiment results. Key commits include config setup (#1385) and a fix to the Split View Config (#1388). This work enhances data-driven decision making, supports feature iteration, and improves data quality for retention metrics.

March 2026: In mozilla/metric-hub, delivered a TOML-based Onboarding Analytics Configuration for Firefox Experiment to analyze churned new profiles, focusing on onboarding intents and purposes. The feature adds a configurable surface for experiment owners to quantify activation and retention early in the funnel and integrates with the existing analytics pipeline. No major bugs were reported this month. Overall impact includes expanded measurement capabilities for onboarding effectiveness, enabling data-driven optimizations and improved retention in Firefox experiments. Key technical work included a focused code change and a clean commit history demonstrating configuration-driven analytics.

February 2026 monthly summary for mozilla/metric-hub focused on experiment data collection and exposure configuration enhancements that bolster data fidelity and analytics for marketing campaigns. Key features delivered include Valentine’s Day experiment segmentation to improve user profiling and data analysis, and a default browser experiment exposure configuration to refine how spotlight messaging impressions are filtered and analyzed. Major bugs fixed: none explicitly listed in the provided data; the month included CI/configuration improvements related to exposure changes. Overall impact: enabled more accurate measurement, improved data-driven decision-making for campaigns, and more robust default exposure settings. Technologies/skills demonstrated: Git-based development and PR-driven workflow, data collection instrumentation, experimentation framework enhancements, exposure configuration, and CI/workflow optimization.

January 2026 (2026-01) focused on strengthening analytics in the New Tab client by delivering targeted enhancements to viewability metrics. A new analytics dimension set was introduced to better track sponsored content and topsites viewability in the New Tab analytics pipeline. The work included a traceable commit that adds a Sponsored content and topsites viewable flag, improving data accuracy and auditability. No major defects were reported this month; however, maintenance and code hygiene were improved through clear commit history and repository alignment in mozilla/looker-spoke-default. Technologies demonstrated include analytics instrumentation, data modeling for viewability metrics, and disciplined version control, enabling data-driven product decisions and marketing optimization.

November 2025 monthly summary for mozilla/metric-hub: Completed instrumentation for the Windows Taskbar pinning experiment, enabling telemetry around how often Firefox is pinned to the Windows taskbar and informing related EOS messaging experiments. Delivered a new Windows hamburger-menu experiment configuration file and introduced a metric to measure the percentage of clients pinning Firefox to the Windows Taskbar. This work establishes the data foundation for data-driven UX decisions and supports future cross-platform experiment analysis. Implemented via two commits to mozilla/metric-hub (fe52eb9d112b1ca47ff9950346ee757491c5afe0 and 743661b5fac0eba0698d4e49861a86771197fa11), enabling config-driven experimentation and richer telemetry.

October 2025 monthly summary for mozilla/looker-spoke-default focused on delivering enhancements to editorial analytics for the newtab_items_daily view. Delivered aggregated metrics, introduced average metrics, and enabled a dedicated Looker Explore to improve analysis of editorial content engagement. No explicit major bugs were documented for this repository in the provided data; the month emphasized feature delivery and data visualization improvements.

September 2025 — mozilla/looker-spoke-default: Delivered HNT Project Data Enrichment for Newtab Clients Daily Aggregates, enabling richer analytics with country context and engagement metrics. Implemented new columns, added a left outer join to the countries table, refactored the derived table SQL for simpler base field selection, and introduced engagement metrics measures. No major bugs fixed this month. This work enhances data quality, supports better decision-making, and improves maintainability of the analytics model.

August 2025 monthly summary for mozilla/looker-spoke-default: Delivered a new LookML data model for New Tab analytics with rolling timeframes (day, week, month, quarter, year) to support aggregated metrics on user engagement, content impressions, and clicks within the New Tab experience. This enables more flexible and accurate reporting across time windows. Performed a LookML readability cleanup to improve maintainability without changing functionality.