June 2025 summary for plausible/docs: Delivered a major Plausible analytics upgrade to script v2 with an updated initialization flow and added browser language properties to improve data accuracy and granularity. Fixed a tracker configuration issue by correcting the script source URL and configuration ID, ensuring reliable event tracking. Completed validation across the docs site to verify data integrity, enabling more trustworthy analytics for product decisions. Demonstrated strong release engineering, testing, and data-focused iteration.

April 2025 — Plausible/docs: Documentation alignment for default statistics date range. Delivered: (1) updated default date range from 90 to 91 days across docs, including keyboard shortcut and Statistics API docs; (2) ensured cross-document consistency for related references; (3) committed change traceable via e773f83d8f9cf305132be93206ce5b2f81a3633c ('last 90 -> 91 days'). Minor note: no major bugs fixed this month. Impact: reduces user confusion, improves analytics guidance, and supports partner integrations. Technologies/skills: documentation standards, cross-repo consistency, change traceability, commit hygiene.

March 2025: Documentation enhancements for plausible/docs focusing on statistics API, minute-interval metrics, and traffic spike emails. Clarified predefined date ranges (including 28d and 90d), explained minutes-interval calculations in the Dashboard FAQ with an example, and updated traffic spike email docs to surface top pages, visitor counts, and top referrals. These changes improve API discoverability, onboarding, and support efficiency.

February 2025 monthly summary focusing on delivering a new metrics capability in Stats API v2 and strengthening analytics readiness. The work centers on introducing the scroll_depth metric in the Stats API v2 docs, with explicit data typing and usage requirements to enable accurate engagement reporting and enhanced API analytics. No major bugs reported this month. Impact: Enables more precise user engagement analytics and more actionable dashboards for product, marketing, and data teams. Improves data governance and traceability for API metrics, supporting data-driven decision making and customer-facing analytics. Technologies/skills demonstrated: API design and versioning, metrics specification, explicit data typing (integer), comprehensive documentation, commit tracing for traceability, and cross-team collaboration to align analytics capabilities with product goals.