SayPro Audit Findings Report (SCLMR-5-AFR): A detailed report of the findings from the accuracy audit, including the description of any issues identified.

Sure! Below is a sample template of a SayPro Audit Findings Report (SCLMR-5-AFR). This version is designed to comprehensively detail findings from a data accuracy audit, including descriptions of the issues identified, severity ratings, and suggested corrective actions.

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SayPro Audit Findings Report

Report Code: SCLMR-5-AFR
Title: Data Accuracy Audit Findings Report
Project Name: [Insert Project Name]
Location: [Region/Facility]
Date of Audit: [Insert Date]
Audit Team Lead: [Name]
Audit Reference ID: [e.g., DQA-2025-07-15]

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🗂️ Section 1: Executive Summary

This audit was conducted as part of the routine monitoring and evaluation quality assurance process. The focus was on assessing data accuracy for key indicators reported during the last reporting cycle. A total of [X] sites were visited and [Y] data points were reviewed.

Key Findings:

• Accuracy rating: [e.g., 78% accurate]
• Number of discrepancies: [e.g., 15]
• Number of critical issues: [e.g., 3]
• Immediate data corrections required: [e.g., 2]
• Tools affected: [List tools/forms affected]

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📊 Section 2: Summary Table of Findings

Finding ID	Indicator	Issue Description	Severity	Source	Recommended Action	Responsible Person	Deadline
F001	# of women receiving ANC	Data overstated by 20% due to duplication	High	Health Register	Deduplicate records and retrain staff	M&E Officer	15 June 2025
F002	# of participants trained	Disaggregated data missing (age/gender)	Moderate	Training Report	Update forms to include disaggregation fields	Training Manager	22 June 2025
F003	School Attendance Rate	Source data not archived; unverifiable	Critical	School Logbooks	Reinforce data storage protocols	Education Officer	Immediate
F004	Immunization Coverage	Use of outdated reporting forms	Low	Tally Sheets	Distribute updated tools and recall old ones	District Coordinator	30 June 2025

Severity Definitions:

• Critical: Threatens data integrity; immediate action required
• High: Impacts decision-making; short-term action needed
• Moderate: Affects completeness or reliability; monitor
• Low: Minor inconsistency; track during next review

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🔎 Section 3: Detailed Descriptions of Key Issues

🔹 Finding F001: Overstated ANC Numbers

Description: The monthly summary from Site A showed 320 ANC clients, while the verified facility register recorded 268. Duplicates were found due to double-entry of revisits as new clients.
Implication: Overreporting may lead to inaccurate resource allocation and false performance assessments.
Recommendation: Immediate review of data entry protocols and implementation of unique client IDs.

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🔹 Finding F003: Missing Source Data

Description: Attendance records for Q1 2025 were not retrievable in two schools. The M&E team could not verify reported school attendance rates.
Implication: Data unverifiable; compromises trust and funding compliance.
Recommendation: Reintroduce physical backup of attendance sheets and train school staff on archiving.

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📈 Section 4: Data Accuracy Rating

Indicator Group	Reviewed Data Points	Accurate	Inaccurate	Accuracy %
Health	50	42	8	84%
Education	30	23	7	77%
Livelihoods	20	19	1	95%
Total	100	84	16	84%

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📌 Section 5: Recommendations and Next Steps

1. Develop a corrective action plan and assign roles.
2. Conduct refresher training on tool usage and indicator definitions.
3. Institute monthly data spot checks at the facility level.
4. Migrate data collection to a digital platform with built-in validation.
5. Schedule a follow-up audit in Q3 2025.

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📥 Section 6: Attachments

• Appendix A: Audit Tools Used
• Appendix B: Corrective Action Tracker Template
• Appendix C: Raw Audit Logs (Confidential)
• Appendix D: Stakeholder Debrief Summary

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✅ Sign-Off

Prepared By	Date	Approved By	Date
[Auditor Name]	[Insert]	[M&E Manager Name]	[Insert]

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