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SayPro roles for data collection and partner outreach
Weekly SayPro Roles: Data Collection & Partner Outreach
🗓 Monday – Strategic Planning & Prioritization
Assigned Role: Strategic Partnership Coordinator
Key Tasks:
- Review previous week’s partnership activity and feedback.
- Set weekly targets for data collection and outreach.
- Prioritize partners needing urgent engagement or data updates.
- Update internal tracking tools or dashboards.
🗓 Tuesday – Internal Data Collection
Assigned Role: Partnership Data Analyst
Key Tasks:
- Collect partnership data from program managers and team leads (project milestones, outputs, KPIs).
- Update partnership profiles and databases.
- Verify and standardize data entries.
- Identify missing or inconsistent information.
🗓 Wednesday – External Partner Outreach
Assigned Role: Partner Engagement Officer
Key Tasks:
- Contact partners for updates (via email, phone, virtual meetings).
- Collect feedback, progress updates, and new opportunities.
- Schedule check-ins or joint planning meetings.
- Document all correspondence and partner responses.
🗓 Thursday – Quality Review & Insights
Assigned Role: Partnership Monitoring & Evaluation Lead
Key Tasks:
- Review accuracy and completeness of collected data.
- Analyze performance metrics and generate weekly insights.
- Identify trends, gaps, and red flags.
- Prepare a summary report for internal briefing.
🗓 Friday – Communication & Reporting
Assigned Role: Communications & Reporting Officer
Key Tasks:
- Prepare and send a weekly partnership status update to leadership.
- Share success stories, progress highlights, and upcoming engagement plans.
- Update SayPro website or platform with approved partner data and progress.
- Archive all weekly reports in the official SayPro knowledge repository.
Optional Weekly Rotation Model
To build cross-team capacity:
- Rotate roles monthly among qualified team members.
- Assign assistants or “backups” for continuity during leave or travel.
- Include interns or junior staff in Thursday/Friday activities for learning exposure
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