MGSLG Analytics Prototype - Functional Requirements

Overview

This document defines the functional requirements for the MGSLG Analytics prototype, designed to demonstrate the value of data-driven insights for educational program management and career progression analysis.

Core Functional Areas

1. Data Visualization Dashboard

1.1 Program Performance Analytics

Requirement ID: FR-001 Priority: High Description: Display training program effectiveness metrics

Acceptance Criteria:

Program completion rates by course type
Participant satisfaction scores trending
Geographic distribution of participants
Time-series analysis of program growth
Comparative analysis across different programs

User Stories:

As a Program Manager, I want to see which training programs have the highest completion rates so I can identify successful program characteristics
As Executive Leadership, I want to view program performance trends to make informed strategic decisions

1.2 Career Progression Tracking

Requirement ID: FR-002 Priority: High Description: Visualize participant career advancement patterns

Acceptance Criteria:

Career progression timelines for program alumni
Position advancement correlation with training programs
Salary progression analysis (where data available)
Industry/sector transition patterns
Success rate metrics by program type

User Stories:

As a Training Coordinator, I want to show participants potential career paths based on historical data
As a Board Member, I want evidence of program impact on participant careers

1.3 Stakeholder Engagement Metrics

Requirement ID: FR-003 Priority: Medium Description: Track engagement across different stakeholder groups

Acceptance Criteria:

Participation rates by stakeholder type (educators, leaders, governing bodies)
Engagement depth metrics (sessions attended, completion rates)
Feedback sentiment analysis
Repeat participation tracking
Regional engagement distribution

User Stories:

As Executive Leadership, I want to understand which stakeholder groups are most engaged to optimize outreach
As Program Management, I want to identify engagement patterns to improve program design

2. Predictive Analytics

2.1 Participation Forecasting

Requirement ID: FR-004 Priority: High Description: Predict future program participation and resource needs

Acceptance Criteria:

6-month participation volume forecasts by program type
Seasonal trend identification and prediction
Resource requirement forecasting
Budget planning support metrics
Accuracy tracking against actual outcomes

User Stories:

As Executive Leadership, I want to forecast resource needs for budget planning
As Program Management, I want to anticipate capacity requirements for program scheduling

2.2 Success Probability Modeling

Requirement ID: FR-005 Priority: Medium Description: Predict likelihood of participant success based on historical patterns

Acceptance Criteria:

Individual participant success probability scores
Risk factor identification for program completion
Early intervention recommendations
Success factor analysis across demographics
Model performance metrics and validation

User Stories:

As a Training Coordinator, I want to identify participants who may need additional support
As Program Management, I want to optimize program design based on success factors

3. Reporting and Export

3.1 Executive Reporting

Requirement ID: FR-006 Priority: High Description: Generate comprehensive reports for leadership and board

Acceptance Criteria:

Monthly executive summary reports
Quarterly board presentation materials
Annual impact reports
Custom date range reporting
PDF and PowerPoint export capabilities

User Stories:

As Executive Leadership, I want monthly summary reports for strategic review
As Board Members, I want quarterly presentations showing organizational impact

3.2 Compliance Reporting

Requirement ID: FR-007 Priority: High Description: Generate reports required for compliance and governance

Acceptance Criteria:

POPIA compliance reports (data usage, participant consent tracking)
Government reporting requirements
Audit trail documentation
Data governance metrics
Privacy impact assessments

User Stories:

As IT/Data Management, I want automated compliance reports for regulatory submissions
As Executive Leadership, I want assurance of regulatory compliance

4. Data Management

4.1 Data Integration

Requirement ID: FR-008 Priority: High Description: Integrate existing data sources into unified analytics platform

Acceptance Criteria:

Import existing participant databases
Training program records integration
Feedback and survey data incorporation
Career progression data linking
Data validation and quality checks

User Stories:

As IT/Data Management, I want to consolidate scattered data sources
As Program Management, I want unified view of all program data

4.2 Data Quality Management

Requirement ID: FR-009 Priority: Medium Description: Monitor and maintain data quality standards

Acceptance Criteria:

Data completeness metrics
Data accuracy validation rules
Duplicate detection and management
Data freshness monitoring
Quality improvement recommendations

User Stories:

As Data Management, I want to ensure analytics are based on quality data
As Program Management, I want confidence in data-driven insights

5. User Access and Security

5.1 Role-Based Access Control

Requirement ID: FR-010 Priority: High Description: Secure access control based on user roles and responsibilities

Acceptance Criteria:

Executive dashboard access for leadership
Program manager operational views
Training coordinator participant-focused views
Read-only access for board members
Audit logging of all access

User Stories:

As IT/Data Management, I want to control access to sensitive participant data
As Executive Leadership, I want appropriate access levels for different staff roles

5.2 Privacy Protection

Requirement ID: FR-011 Priority: High Description: Protect participant privacy in accordance with POPIA

Acceptance Criteria:

Participant data anonymization for aggregate analytics
Consent management tracking
Data retention policy enforcement
Privacy-preserving analytics techniques
Individual data access controls

User Stories:

As Participants, I want assurance my personal data is protected
As IT/Data Management, I want automated privacy protection mechanisms

Non-Functional Requirements

Performance Requirements

Dashboard load time: <3 seconds for standard reports
Report generation: <30 seconds for complex analyses
Data refresh: Real-time for critical metrics, daily batch for historical analysis

Usability Requirements

Intuitive interface requiring minimal training
Mobile-responsive design for tablet access
Self-service analytics for basic queries
Help documentation and tooltips

Security Requirements

POPIA compliance for all data handling
Encrypted data transmission and storage
Audit trails for all data access
Regular security assessments

Scalability Requirements

Support for 5,000+ participant records
50+ concurrent users during peak usage
5-year historical data retention
Expandable to additional data sources

Success Criteria

Prototype Acceptance

Successful demonstration of all high-priority features
Positive stakeholder feedback (>80% satisfaction)
Technical performance meets specified requirements
Compliance verification completed

Business Value Demonstration

At least 3 actionable insights identified during demonstration
Clear ROI projection for full implementation
Stakeholder commitment to proceed with development
Evidence of potential competitive advantage

Document Version: 1.0 Last Updated: September 2025 Next Review: Post-prototype demonstration