Isaac H. developed a foundational survey data collection infrastructure for the ctc-uci/cch repository, focusing on database design using SQL. He created a new table, 'random_survey_table', to store survey responses, capturing quality metrics, user experience feedback, and case manager associations. This work established an analytics-ready foundation for monitoring and analyzing user feedback, enabling data-driven improvements to user experience and service outcomes. Isaac’s approach centered on robust schema design and integration with existing data flows, ensuring that feedback could be systematically collected and queried. Over the month, he delivered one feature, demonstrating depth in SQL and database architecture.