SayPro data analysts for insights synthesis

ayPro Collaboration Workflow: Researcher ↔ Data Analyst

1. Share Clean, Well-Organized Data

• Provide analysts with:
  • Fully anonymized transcripts
  • Coded thematic datasets (tagging sheets)
  • Metadata (participant profiles, segments, dates)
  • Interview prompt usage logs (if applicable)
• Use SayPro’s shared secure drive or Research Portal upload area.

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2. Schedule Regular Sync Meetings

• Weekly or bi-weekly touchpoints to:
  • Review preliminary findings
  • Clarify ambiguous codes or emerging patterns
  • Align on research questions and hypotheses
• Use SayPro Teams/Slack channels for ongoing quick communication.

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3. Co-Design Data Visualization & Reporting

• Work with analysts to:
  • Develop dashboards (heatmaps, word clouds, sentiment analysis)
  • Create cross-segment comparison charts
  • Identify storylines supported by qualitative data
• Share feedback iteratively to refine insights presentation.

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4. Integrate GPT-Prompt Mapping

• Provide analysts with prompt-to-code mapping documents.
• Help interpret how GPT-based questions relate to emerging themes.
• Support automated insight clustering or AI-assisted tagging if used.

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5. Validate Insights with Triangulation

• Cross-check analyst-generated themes with your field observations.
• Flag any discrepancies or unexpected findings.
• Suggest follow-up interview questions or data pulls if needed.

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6. Prepare Joint Deliverables

• Co-author final reports, presentations, or executive summaries.
• Ensure technical accuracy and contextual richness.
• Incorporate data analyst visualizations with qualitative narrative.

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7. Maintain Data Privacy & Ethical Standards

• Share only on SayPro-approved platforms.
• Avoid sharing identifiable information.
• Keep track of data access logs.