
Carla Lopez Sanchez contributed to the all-rit/ALL repository by developing and refining a data-driven survey and game experience over four months. She designed and normalized SQL database schemas to support structured pre- and post-survey responses, enabling robust analytics and streamlined data management. Using JavaScript, React, and Node.js, Carla implemented age-based routing, integrated survey data into the application flow, and built features like a real-time scoreboard and post-survey quiz. Her work included front-end UI polishing with Tailwind CSS and backend schema cleanup, resulting in a cohesive user journey, reduced technical debt, and improved maintainability across both the database and application layers.

Month: 2025-04 — All-rit/ALL: Delivered Imagine25 End-to-End UI/Flow Polishing and Schema Cleanup, driving a cohesive UX and simplified data model. Front-end polish across pages paired with a targeted DB cleanup reduced unnecessary complexity and maintenance overhead. Commit-level traceability provided for both UI refinements and schema changes.
Month: 2025-04 — All-rit/ALL: Delivered Imagine25 End-to-End UI/Flow Polishing and Schema Cleanup, driving a cohesive UX and simplified data model. Front-end polish across pages paired with a targeted DB cleanup reduced unnecessary complexity and maintenance overhead. Commit-level traceability provided for both UI refinements and schema changes.
March 2025 monthly summary for all-rit/ALL: Delivered end-to-end user journey improvements with the Post-Survey Experience and Navigation, and launched the Imagine 2025 Quiz Experience. Implemented age-based routing after game analysis to ensure correct survey questions and screens. Integrated survey data into the app flow to support analytics and personalized navigation. Stabilized the quiz path with questions loaded from a constant file, score recording, updated certificate display for the new flow, and a restart safeguard to allow retries after prior attempts. Resolved backend routing gaps and quiz-related errors to improve reliability and data collection.
March 2025 monthly summary for all-rit/ALL: Delivered end-to-end user journey improvements with the Post-Survey Experience and Navigation, and launched the Imagine 2025 Quiz Experience. Implemented age-based routing after game analysis to ensure correct survey questions and screens. Integrated survey data into the app flow to support analytics and personalized navigation. Stabilized the quiz path with questions loaded from a constant file, score recording, updated certificate display for the new flow, and a restart safeguard to allow retries after prior attempts. Resolved backend routing gaps and quiz-related errors to improve reliability and data collection.
February 2025 performance summary for all-rit/ALL. This month focused on advancing data integrity, user journey, and end-to-end readiness for the 2025 game experience. Delivered foundational features for data normalization, a pre-survey scaffolding with age-based routing, and the new ScoreBoard to display team scores post-survey. Substantial code organization and quality improvements were completed to improve maintainability, scalability, and developer velocity.
February 2025 performance summary for all-rit/ALL. This month focused on advancing data integrity, user journey, and end-to-end readiness for the 2025 game experience. Delivered foundational features for data normalization, a pre-survey scaffolding with age-based routing, and the new ScoreBoard to display team scores post-survey. Substantial code organization and quality improvements were completed to improve maintainability, scalability, and developer velocity.
January 2025 monthly summary for all-rit/ALL focused on delivering a robust data model and survey integration to enable richer analytics and scalable survey workflows. Key work included introducing the Imagine25 data model, extending the schema to store structured pre- and post-survey responses as JSON, and removing legacy demographic fields to reduce data drift. No major bugs fixed this month; the work lays a foundation for improved data integrity, reporting, and experimentation. Technologies demonstrated include SQL data modeling, schema migrations, and JSON-based survey storage.
January 2025 monthly summary for all-rit/ALL focused on delivering a robust data model and survey integration to enable richer analytics and scalable survey workflows. Key work included introducing the Imagine25 data model, extending the schema to store structured pre- and post-survey responses as JSON, and removing legacy demographic fields to reduce data drift. No major bugs fixed this month; the work lays a foundation for improved data integrity, reporting, and experimentation. Technologies demonstrated include SQL data modeling, schema migrations, and JSON-based survey storage.
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