mozilla/metric-hub
Apr 2025 – May 2026
7 Months active
Languages Used
TOML
Technical Skills
Configuration ManagementData AnalysisTelemetry Configurationconfiguration managementsoftware experimentationdata management
Yeonjoo Yoo
PROFILE
Yeonjoo Yoo
Worked on the mozilla/metric-hub repository to deliver a range of analytics and configuration management features supporting user engagement, VPN experimentation, and backup metrics tracking. Leveraged BigQuery, TOML, and data modeling to define and implement telemetry configurations, granular engagement metrics, and scalable data pipelines. Introduced rolling averages, ratio-based metrics, and cross-platform analytics aligned with business OKRs, while also improving data quality through targeted bug fixes and no-op data sources. Enhanced experiment control by configuring enrollment periods and end dates, and established robust patterns for metrics instrumentation, enabling more reliable dashboards and data-driven decision making across desktop and mobile platforms.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
17Total
Bugs
1
Commits
17
Features
8
Lines of code
584
Activity Months7
Work History
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for mozilla/metric-hub: Delivered a targeted feature enhancement to VPN participation by extending the holdback enrollment period from 8 days to 28 days, implemented across two successive commits to support broader experimentation and potential VPN adoption. The work established a longer, controlled rollout window to improve enrollment and data-backed decision making.
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for mozilla/metric-hub: Delivered a targeted feature enhancement to VPN participation by extending the holdback enrollment period from 8 days to 28 days, implemented across two successive commits to support broader experimentation and potential VPN adoption. The work established a longer, controlled rollout window to improve enrollment and data-backed decision making.
May 2026
March 2026
9 Commits • 2 Features
Mar 1, 2026Month: 2026-03 — Summary: Delivered substantial Desktop Analytics improvements for Mozilla Metric Hub, including definitions, rolling averages, and ratio-based metrics, plus mobile and cross-platform analytics enhancements and a focused data quality bug fix. Work centered on aligning metrics with business OKRs (Retention, New Profiles, Engagement) and delivering accurate, actionable insights for product and growth teams. Across desktop and mobile, the updates improved metric clarity, data joins, and short-term trend visibility, enabling better decision-making and performance tracking.
March 2026
9 Commits • 2 Features
Mar 1, 2026Month: 2026-03 — Summary: Delivered substantial Desktop Analytics improvements for Mozilla Metric Hub, including definitions, rolling averages, and ratio-based metrics, plus mobile and cross-platform analytics enhancements and a focused data quality bug fix. Work centered on aligning metrics with business OKRs (Retention, New Profiles, Engagement) and delivering accurate, actionable insights for product and growth teams. Across desktop and mobile, the updates improved metric clarity, data joins, and short-term trend visibility, enabling better decision-making and performance tracking.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for mozilla/metric-hub: Delivered Firefox Backup Metrics Tracking feature by introducing a custom config and an outcome file to capture backup metrics, including the backup scheduler enablement status. This addition enhances observability of backup operations and provides a scalable pattern for future metrics instrumentation, contributing to reliability and data-driven decision making. No major bugs fixed in this scope.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for mozilla/metric-hub: Delivered Firefox Backup Metrics Tracking feature by introducing a custom config and an outcome file to capture backup metrics, including the backup scheduler enablement status. This addition enhances observability of backup operations and provides a scalable pattern for future metrics instrumentation, contributing to reliability and data-driven decision making. No major bugs fixed in this scope.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12 focused on key deliverables and impact for mozilla/metric-hub. Implemented a No-Op Data Source for Networking Metrics to streamline data collection and reporting. This feature introduces a no-op data source and overwrites irrelevant networking metrics with no-op values, reducing data noise and improving dashboard reliability. The work lays groundwork for a scalable metrics pipeline and better data-driven decisions. Key contribution: commit 7b1cc77adbf8192d0fe8d369a9c92cb66a1af711 (co-authored by Mike Williams).
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12 focused on key deliverables and impact for mozilla/metric-hub. Implemented a No-Op Data Source for Networking Metrics to streamline data collection and reporting. This feature introduces a no-op data source and overwrites irrelevant networking metrics with no-op values, reducing data noise and improving dashboard reliability. The work lays groundwork for a scalable metrics pipeline and better data-driven decisions. Key contribution: commit 7b1cc77adbf8192d0fe8d369a9c92cb66a1af711 (co-authored by Mike Williams).
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Implemented a Windows 10-targeted Firefox VPN Experiment Configuration in the mozilla/metric-hub repo, introducing an end-date to control lifecycle and enable safe, time-bound rollout. Delivered as a dedicated configuration file with a traceable commit tying to the experiment milestone.
1 Commits • 1 Features
Nov 1, 2025November 2025: Implemented a Windows 10-targeted Firefox VPN Experiment Configuration in the mozilla/metric-hub repo, introducing an end-date to control lifecycle and enable safe, time-bound rollout. Delivered as a dedicated configuration file with a traceable commit tying to the experiment milestone.
November 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 (mozilla/metric-hub): Delivered granular engagement metrics at the per-client level, tracking app opens and app icon usage across weekly, 28-day, and overall analysis windows. This feature enhances visibility into user engagement, enabling more precise retention and adoption analysis, and lays the groundwork for client-specific dashboards and data-driven product decisions. The work aligns with the DS-4224 metrics update and is linked to commit DS-4224 updating metrics (#880).
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 (mozilla/metric-hub): Delivered granular engagement metrics at the per-client level, tracking app opens and app icon usage across weekly, 28-day, and overall analysis windows. This feature enhances visibility into user engagement, enabling more precise retention and adoption analysis, and lays the groundwork for client-specific dashboards and data-driven product decisions. The work aligns with the DS-4224 metrics update and is linked to commit DS-4224 updating metrics (#880).
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered cross-platform User Engagement Telemetry Configuration for mozilla/metric-hub, enabling structured measurement of UI engagement and Android app usage. Implemented configurable segments, time windows, and data sources to track notification clicks, vertical tab usage, app opens, and app icon interactions, laying the foundation for data-driven product decisions and better user experience optimization. Major bugs fixed: None reported this month.
2 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered cross-platform User Engagement Telemetry Configuration for mozilla/metric-hub, enabling structured measurement of UI engagement and Android app usage. Implemented configurable segments, time windows, and data sources to track notification clicks, vertical tab usage, app opens, and app icon interactions, laying the foundation for data-driven product decisions and better user experience optimization. Major bugs fixed: None reported this month.
April 2025
Activity
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Quality Metrics
Correctness94.2%
Maintainability91.8%
Architecture91.8%
Performance89.4%
AI Usage23.4%
Skills & Technologies
Programming Languages
TOML
Technical Skills
BigQueryConfiguration ManagementData AnalysisTelemetry Configurationanalyticsconfiguration managementdata analysisdata managementdata modelingdatabase managementmetrics analysismetrics definitionmetrics developmentmetrics trackingsoftware experimentation
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