📊 SayPro Data Collection Initiative
Objective:
To systematically gather both quantitative and qualitative data from all SayPro departments to support comprehensive program analysis, monitoring, and evaluation.
🎯 Purpose
The data collection process aims to:
- Ensure timely and accurate data flow from all operational units
- Capture diverse data types to provide a holistic understanding of program performance
- Facilitate evidence-based decision-making and strategic planning
- Support internal reporting and external accountability requirements
🔍 Data Types Collected
- Quantitative Data
- Numeric indicators such as program outputs, participant demographics, survey results, financial metrics, and performance KPIs
- Qualitative Data
- Descriptive information including beneficiary feedback, case studies, success stories, focus group discussions, and observational notes
🔄 Data Collection Process
- Data Request and Scheduling
- Coordinated through the SayPro Monitoring & Evaluation Unit with clear deadlines and submission guidelines
- Use of Standardized Tools
- Departments utilize pre-approved data collection instruments and templates to ensure consistency and quality
- Data Submission
- Data is submitted through the SayPro digital platform or designated secure channels
- Verification and Validation
- Submitted data undergoes quality checks and follow-up for clarification as needed
✅ Benefits
- Comprehensive data availability to inform program adjustments and impact assessments
- Enhanced data integrity and comparability across departments
- Streamlined reporting processes and improved organizational learning
🏛️ Managed By
SayPro Monitoring & Evaluation Unit
In collaboration with:
- SayPro Department Heads and Data Focal Points
- SayPro Data Management Team
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