Oct 2025 — mozilla/looker-spoke-default delivered granular time-based analytics, expanded data coverage, and new fenix_distribution_deals metrics to drive clearer business insights and more reliable reporting. Enhanced submission time dimension now uses submission_date to enable raw/date/month/quarter/year analytics, enabling precise cohorts and trend analysis (commit 26347487641511543206c29555123f53fbeefca8). Expanded preload data range to 2025-01-01 and switched from inner to left join to preserve all preload rows, reducing data gaps (commit 4ccd7593a8f35cc66b738168c3e0c12e3e4ba189). Implemented fenix_distribution_deals analytics with new metrics and updated calculations, including average DAU, browser share of DAU, retention, refined LTV, and ad/search DAU, with supporting naming updates (commits: c74070f091c131dabd96dae23d1681eebf09aac2; f6677e61177128d6711ff0c995673d9f82aa4b62; 585c69b4fec1fc348204e748242558415e337d32; 821c3513066fd0ebf2e4636ddb8d1ca8d8f61d98). In addition, key correctness and stability fixes improved measurement accuracy using BigQuery date functions and safe division (commits: 1b18777b5cf057a6396acb877e9240c4f1b344ba; 31ef8ec21d5943f2d875b25643abaafc2c7d70a6; bb1127babf67bc907bbc65d0239cb5cf8d398457; 1bb779e4d721c9494973c53bd9752c0fcf34d757; 5f21729094b60d7810f45c159ac91766ede45e20). This combination increases data fidelity, enables deeper cross-metric analyses, and supports more informed product decisions.

In September 2025, delivered a unified app opens and activation analytics feature for mozilla/looker-spoke-default. This involved refactoring the device partnership app opens view to use new data tables, consolidating data sources, and redefining metrics for app opens and preloads to provide a unified and more accurate activation view across distribution channels. No major bugs reported this month.

July 2025 monthly summary focusing on delivering reliable data metrics, improved segmentation, and refined reporting across the metric-hub and looker-spoke-default repos. Key outcomes include data source reliability improvements to prevent timeouts, time-bounded metric calculations, enhanced data segmentation for perplexity analytics, and refined reporting accuracy through data source refactors. These efforts have driven more stable dashboards, higher data granularity, and clearer country-code reporting for activation metrics.

June 2025 performance: Delivered analytics enhancements and instrumentation across mozilla/looker-spoke-default and mozilla/metric-hub, focused on measurable business value and dashboard reliability. Implemented Device Manufacturer Partnerships analytics with a new dt_ctr view and device_partnership_app_opens explore, including data joins and safe calculations, and introduced enterprise segmentation in search aggregates via an is_enterprise dimension. Established Perplexity search experiment tracking with new configuration TOML files to surface experiment results by region and tenure. Fixed configuration quality issues to improve reliability, including a linting/config fix for dt_ctr.view.lkml. Overall, these efforts sharpen partner and enterprise insights, improve decision-ready dashboards, and enable robust experimentation measurement across platforms.

January 2025: Delivered TLS Timing Metrics Instrumentation for Certificate Transparency in mozilla/metric-hub, consolidating TLS timing instrumentation, aligning legacy telemetry client IDs, and introducing deeper metrics for performance insights. Implemented robust timing_ratio calculations to avoid division by zero and handle nulls; added num_handshakes and deciles for richer analysis. This work improved data quality and observability for TLS handshakes tied to Certificate Transparency, enabling faster incident response and better SLA tracking.

Month 2024-12 in mozilla/metric-hub delivered two core telemetry features that boost business visibility and security observability. The work enables region-specific marketing experiments for mobile adoption and enhances TLS health metrics collection, paving the way for dashboards and proactive alerts.