SayPro Monthly Data Analysis Report Template

Reporting Period: [Month & Year]
Prepared by: [Name, Title]
Region(s): [Applicable Provinces/Districts]
Submission Date: [Date]

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1. Executive Summary

• Concise summary of key findings, major achievements, and critical issues.
• Highlight high-level trends and top recommendations.

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2. Project Overview

Item	Details
Project Name(s)	e.g., Youth Digital Literacy, Skills Development
Reporting Region(s)	List of provinces/districts included
Data Collection Period	Start & end dates
Number of Activities Conducted	e.g., 48 workshops, 12 training sessions
Number of Participants	Total, by gender, and by age group

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3. Data Sources

• List data sources used (e.g., attendance registers, feedback forms, surveys).
• Indicate data collection tools (Excel templates, KoBoToolbox, etc.).
• Note any missing or delayed data submissions.

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4. Key Performance Indicators (KPIs)

KPI	Target	Actual	Variance	Status (On Track/Delayed)
Number of youth trained	1,000	875	-125	Delayed
Completion rate	80%	78%	-2%	On Track
Satisfaction score (1–5)	≥4.0	4.3	+0.3	On Track
Employment placement post-training	30%	18%	-12%	Needs Attention

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5. Data Analysis: Quantitative Findings

a. Participation Trends

• Total and average attendance per activity
• Gender and age distribution charts
• Regional comparison of reach

b. Performance Metrics

• Training completion rates by region
• Pre- and post-assessment score changes (if applicable)
• Dropout and absenteeism analysis

c. Satisfaction & Feedback

• Average feedback scores
• Common themes in participant comments

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6. Data Analysis: Qualitative Insights

• Emerging themes from interviews or open-ended feedback
• Key participant and facilitator quotes
• Summary of challenges raised in narrative comments

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7. Challenges Identified

Challenge	Root Cause	Affected Region/Group	Impact
Low attendance in Limpopo	Transport issues	Rural youth	Reduced completion rates
Incomplete feedback forms	Staff training gaps	Multiple regions	Data gaps in satisfaction scoring

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8. Lessons Learned

• Insights gained from implementation or data trends.
• Examples of what worked well and what didn’t.

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9. Recommendations & Action Points

Recommendation	Responsible	Deadline	Status
Provide transport stipends	Program Manager	July 15	In Progress
Retrain facilitators on data tools	M&E Lead	July 5	Planned

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10. Data Visualizations

(Insert or link to relevant charts, dashboards, or infographics—e.g., from Excel, Power BI)

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11. Annexes

• Annex 1: Raw data summary (optional)
• Annex 2: Data collection tools used
• Annex 3: Detailed feedback tables
• Annex 4: Cleaning log or validation notes (if required)

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📎 Notes:

• Use consistent color codes or traffic lights (green, yellow, red) to indicate KPI status.
• Maintain confidentiality in participant data—use IDs, not full names, in public versions.