Data-SMARTS Requirements
The Data-SMARTS (School Monitoring, Analysis, Reporting, and Tracking System) specification defines a comprehensive platform for educational data management in developing regions.
Transparency: How this section was produced
The requirements on these pages were extracted from the Data-SMARTS Technology Solution Specification and structured into this format using AI. The AI was then asked to validate each requirement against the live codebase that runs the Jolly Monitor / Universal Learning Portal, confirming the platform's ability to meet the specification. The accuracy of this validation was subsequently verified by the system architect.
We believe in being transparent about our use of AI. We are an AI-native development organisation, living at the edge of AI's development capabilities. This approach allows us to work with speed and precision, while maintaining human oversight at every stage.
What is Data-SMARTS?
Data-SMARTS is a Request for Proposal (RFP) specification for a comprehensive education monitoring and analysis system. The system is designed to support large-scale educational improvement programs across multiple countries, enabling:
- Field Data Collection — Mobile-based tools for monitors to collect assessment data, classroom observations, and school information in remote areas with limited connectivity.
- Data Quality Assurance — Automated validation, cleaning, and verification processes to ensure reliable data for decision-making.
- Analytics & Insights — Dashboards, reports, and visualizations to help education stakeholders understand performance and identify areas for intervention.
- Program Administration — Tools for managing organizations, users, projects, and the geographic hierarchy across multiple countries and regions.
Requirement Areas
The Data-SMARTS specification is organized into five core requirement areas, each addressing a critical aspect of the education monitoring lifecycle.
Data Collection
View DetailsComprehensive data gathering through mobile applications supporting EGRA/EGMA assessments, classroom observations, and school monitoring.
Data Cleaning
View DetailsAutomated validation and quality assurance processes to ensure data integrity and reliability.
Analysis & Reporting
View DetailsPowerful analytics and visualization tools to transform raw data into actionable insights.
Administration
View DetailsComprehensive administrative controls for managing users, organizations, and system configuration.
AI Integration
View DetailsArtificial intelligence capabilities to enhance data collection, analysis, and decision support.
Key Design Principles
Offline-First
All field data collection must work without internet connectivity, with automatic synchronization when connection is restored.
Mobile-Optimized
Primary data collection occurs on mobile devices in the field, requiring intuitive interfaces optimized for tablets and smartphones.
Secure & Scalable
The system must handle millions of records across multiple countries while maintaining strict data security and privacy standards.
Full Requirements Traceability
We have mapped every requirement in the Data-SMARTS specification to existing functionality in the Universal Learning Portal, demonstrating compliance across all areas.