SayPro Monitoring and Evaluation Data Sets

1. Beneficiary Demographics Data Set

• Beneficiary ID
• Name (if applicable)
• Age
• Gender
• Location (Region/District/Village)
• Education Level
• Employment Status
• Disability Status
• Ethnicity (if relevant)
• Contact Information (optional)

2. Program Participation Data Set

• Beneficiary ID
• Program Name
• Enrollment Date
• Attendance Records (dates attended)
• Completion Status (Completed/In Progress/Dropout)
• Type of Training/Intervention Received
• Trainer/Facilitator Name
• Feedback/Participant Satisfaction Scores

3. Training and Capacity Building Data Set

• Training ID
• Training Topic
• Training Dates
• Location
• Number of Participants
• Trainer(s)
• Pre- and Post-Training Assessment Scores
• Participant Feedback
• Certification Issued (Yes/No)

4. Performance and Outcome Indicators Data Set

• Indicator Name
• Baseline Value
• Target Value
• Period (Quarter/Year)
• Actual Value
• Data Collection Method
• Data Collector
• Date of Data Collection
• Comments/Notes

5. Health and Wellbeing Data Set

• Beneficiary ID
• Health Indicators (e.g., HIV status, nutrition status, mental health screening results)
• Date of Assessment
• Type of Health Service Received
• Follow-up Date
• Health Outcomes
• Referrals Made

6. Economic Empowerment Data Set

• Beneficiary ID
• Business Name (if applicable)
• Type of Business
• Initial Capital
• Revenue (Monthly/Quarterly)
• Number of Employees
• Access to Finance (Loans/Grants)
• Business Growth Indicators
• Challenges Faced

7. Youth Engagement and Leadership Data Set

• Beneficiary ID
• Type of Engagement (e.g., mentorship, advocacy, peer education)
• Number of Engagement Activities Participated
• Roles Held (Leader/Member)
• Outcomes Achieved (e.g., policy influence, community projects)

8. Monitoring Visits and Field Observations Data Set

• Visit ID
• Date of Visit
• Location
• Staff Conducting Visit
• Observations/Findings
• Follow-up Actions Required
• Status of Previous Recommendations

9. Success Stories and Case Studies Data Set

• Story ID
• Beneficiary/Project Name
• Date Documented
• Summary of Success
• Key Lessons Learned
• Multimedia Attachments (Photos, Videos)
• Publication Status

10. Stakeholder Feedback and Satisfaction Data Set

• Stakeholder Type (Beneficiary, Partner, Funder, Staff)
• Feedback Date
• Feedback Method (Survey, Interview, Focus Group)
• Summary of Feedback
• Satisfaction Scores
• Action Taken

11. Financial Data Set (for MEL Budget Tracking)

• Budget Line Item
• Allocated Amount
• Expenditure to Date
• Variance
• Funding Source
• Date of Record

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Additional Notes:

• All data sets should have unique identifiers to enable linking across different data sets (e.g., Beneficiary ID).
• Data privacy and confidentiality protocols must be strictly followed, especially for personal and sensitive information.
• Data should be collected using standardized tools and methods to ensure consistency and reliability.
• Use digital data management platforms (e.g., KoboToolbox, ODK, DHIS2) for data entry, storage, and analysis wherever possible.
• Regular data quality checks and validation processes are essential.