mozilla/looker-spoke-default
Feb 2025 – Feb 2026
5 Months active
Languages Used
LookMLSQL
Technical Skills
Dashboard ConfigurationDashboard DevelopmentDashboardingData AnalysisData FilteringData Visualization
Mike Williams
PROFILE
Mike Williams
Over several months, contributed to the mozilla/looker-spoke-default repository by designing and enhancing business intelligence dashboards focused on experimentation analytics and crash monitoring. Leveraging LookML and SQL, developed features such as sampling-based metrics, unified tracking of user preference changes, and grid-based visualizations for crash signature analysis. Prioritized data accuracy and clarity by integrating dynamic date filters, standardizing event labeling, and refactoring dashboards to use Glean events for improved granularity. Addressed bugs affecting error reporting and chart filtering, ensuring reliable insights for product teams. The work emphasized maintainable, version-controlled dashboard development and robust data modeling to support data-driven decision-making.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
6
Lines of code
2,255
Activity Months5
Your Network
441 peopleSame Organization
@mozilla.com401
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — mozilla/looker-spoke-default: Delivered a new Experiment Monitoring Dashboard feature that visualizes crash signature counts by branch. This enables cross-branch crash pattern analysis and improves observability for crash monitoring. No major bugs fixed this month in this repo. Impact: enhanced dashboard analytics supports faster triage and data-driven release decisions, improving product stability and customer trust. Key technical deliverables include integration with the existing Experiment Monitoring Dashboard, a grid visualization aggregating crash signatures by branch, and code committed under 968dd1448fa04f881fa40a48fa40db7278deff96 (feat(DENG-9369)). Technologies/skills demonstrated include data aggregation, grid-based visualization, dashboard integration, frontend analytics, and version-controlled feature delivery.
1 Commits • 1 Features
Feb 1, 2026February 2026 — mozilla/looker-spoke-default: Delivered a new Experiment Monitoring Dashboard feature that visualizes crash signature counts by branch. This enables cross-branch crash pattern analysis and improves observability for crash monitoring. No major bugs fixed this month in this repo. Impact: enhanced dashboard analytics supports faster triage and data-driven release decisions, improving product stability and customer trust. Key technical deliverables include integration with the existing Experiment Monitoring Dashboard, a grid visualization aggregating crash signatures by branch, and code committed under 968dd1448fa04f881fa40a48fa40db7278deff96 (feat(DENG-9369)). Technologies/skills demonstrated include data aggregation, grid-based visualization, dashboard integration, frontend analytics, and version-controlled feature delivery.
February 2026
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for mozilla/looker-spoke-default. Focused on delivering a unified capability to track user preference changes (changed_pref) across experiments and enrollments dashboards, with an emphasis on business value and data-driven insights.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for mozilla/looker-spoke-default. Focused on delivering a unified capability to track user preference changes (changed_pref) across experiments and enrollments dashboards, with an emphasis on business value and data-driven insights.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025: Focused on delivering and stabilizing experiment enrollment analysis dashboards for mozilla/looker-spoke-default. Implemented initial Looker dashboard for enrollments and related metrics, followed by a Glean-based refactor that uses Glean events for consistency and finer data granularity. This work provided consolidated metrics, improved data governance, and faster insights into experiment performance. No major bugs reported; engineering cadence remained steady with validation of data pipelines. Key commits include 54201ee6523229eb9b5536d89889eb9eaebe5862 and af41be7f9ba41d74b7edfd8f844f86f9e6aef992.
2 Commits • 1 Features
Jun 1, 2025June 2025: Focused on delivering and stabilizing experiment enrollment analysis dashboards for mozilla/looker-spoke-default. Implemented initial Looker dashboard for enrollments and related metrics, followed by a Glean-based refactor that uses Glean events for consistency and finer data granularity. This work provided consolidated metrics, improved data governance, and faster insights into experiment performance. No major bugs reported; engineering cadence remained steady with validation of data pipelines. Key commits include 54201ee6523229eb9b5536d89889eb9eaebe5862 and af41be7f9ba41d74b7edfd8f844f86f9e6aef992.
June 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025Month 2025-03 — Delivered dashboard date filter integration and labeling consistency for mozilla/looker-spoke-default. Key features: dashboards now dynamically follow the dashboard date filter by removing default timeframes; event count labeling across dashboards standardized, with 'Adjusted Event Count' for general charts and updated the calculated field label to 'Approximate Event Count' in the experiment enrollments dashboard. Fixed a regression where daily enrollments charts did not respect the dashboard date filter. Impact: improved data accuracy, cross-dashboard consistency, and faster, clearer decision-making for product and data teams. Technologies/skills: Looker dashboards, data visualization, label standardization, field renaming, and targeted refactoring.
March 2025
2 Commits • 1 Features
Mar 1, 2025Month 2025-03 — Delivered dashboard date filter integration and labeling consistency for mozilla/looker-spoke-default. Key features: dashboards now dynamically follow the dashboard date filter by removing default timeframes; event count labeling across dashboards standardized, with 'Adjusted Event Count' for general charts and updated the calculated field label to 'Approximate Event Count' in the experiment enrollments dashboard. Fixed a regression where daily enrollments charts did not respect the dashboard date filter. Impact: improved data accuracy, cross-dashboard consistency, and faster, clearer decision-making for product and data teams. Technologies/skills: Looker dashboards, data visualization, label standardization, field renaming, and targeted refactoring.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for mozilla/looker-spoke-default focusing on delivering business value through dashboard enhancements and metrics accuracy. Key work includes sampling-based enhancements to the Experiment enrollments dashboard, a dynamic 1% sampling-based approximation for unenrollment counts, and a bug fix to improve error analytics reliability by excluding EnrollmentNotCompleteException from the total error count. These changes enhance dashboard clarity, measurement accuracy, and decision-support signals for product analytics teams.
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for mozilla/looker-spoke-default focusing on delivering business value through dashboard enhancements and metrics accuracy. Key work includes sampling-based enhancements to the Experiment enrollments dashboard, a dynamic 1% sampling-based approximation for unenrollment counts, and a bug fix to improve error analytics reliability by excluding EnrollmentNotCompleteException from the total error count. These changes enhance dashboard clarity, measurement accuracy, and decision-support signals for product analytics teams.
February 2025
Activity
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Quality Metrics
Correctness91.0%
Maintainability92.0%
Architecture88.0%
Performance86.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
LookMLSQL
Technical Skills
Business IntelligenceDashboard ConfigurationDashboard DevelopmentDashboardingData AnalysisData EngineeringData FilteringData ModelingData VisualizationExperimentation AnalysisLookMLLookerSQLdashboard developmentdata visualization
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