SayPro Data Accuracy Collaboration Protocol
🎯 Objective:
Ensure all submitted data, insights, and classifications are verified for consistency, traceability, and alignment with SayPro’s Insight Quality Standards (IQS).
🔹 Step 1: Identify Data Sets for Verification
Choose datasets or output batches that require integrity checks, such as:
- GPT prompt outputs (weekly insight batches)
- Sentiment classification sheets
- Participant feedback logs
- Research summary briefs
- Taxonomy-tagged insights
🔹 Step 2: Schedule a Verification Session
Coordinate with:
📧 dataintegrity@saypro.online
or via internal portal: Staff → Teams → Data Integrity → “Request Review”
Include:
- Document/File Title
- Insight Batch Code or Week Range
- Type of Review Required (e.g., factual, tagging, duplication)
🔹 Step 3: Use SayPro Verification Checklist
During the session, confirm:
| Checkpoint | Verified (✓/✗) |
|---|---|
| Data sources are cited or stored | |
| GPT outputs are coherent & relevant | |
| Insight tags follow taxonomy rules | |
| Sentiment is consistent & validated | |
| No duplication or overlap | |
| Format and naming conventions correct |
🔹 Step 4: Document Adjustments
If changes are needed:
- Use “SayPro Data Correction Log”
- Note item, issue, correction, date, and person responsible
- Save version with
_v2or updated version control tag
🔹 Step 5: Final Approval & Upload
Once reviewed:
- Upload the verified file via the SayPro Research Portal
- Mark it as: ✅ “Integrity Verified”
- Notify your lead and the Data Integrity Team
Optional Support Tools:
- ✅ SayPro GPT Output Validation Sheet
- ✅ Sentiment Classification Matrix
- ✅ Taxonomy Compliance Checklist
Would you like me to help:
- Generate a Data Correction Log for one of your files?
- Prepare a checklist for your next insight batch?
- Draft a request email to the Data Integrity Team?
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