SayPro Program Outcomes Data Collection Plan

Qualitative & Quantitative Data Collection Framework

1. Purpose

To systematically collect, analyze, and interpret data that reflects how well SayPro’s programs are achieving their intended outcomes — including learner progress, employment readiness, stakeholder satisfaction, and long-term impact.

2. Key Program Outcomes to Measure

3. Data Types and Collection Methods

A. Quantitative Data

B. Qualitative Data

4. Sample Data Collection Tools

• Survey Instruments:
  • Post-course learner feedback forms (Likert scale + open-ended)
  • Alumni job placement surveys (online, with optional follow-up call)
  • Employer satisfaction and skills alignment questionnaires
• Interview & Focus Group Guides:
  • Semi-structured interview templates for learners, facilitators, and employers
  • Focus group scripts for gathering in-depth feedback
• LMS Dashboards:
  • Automated reports on engagement, completion, assessment scores
• Alumni Tracking Forms:
  • Google Forms or CRM-integrated tools for tracking graduate status

5. Ethical Considerations

• Obtain informed consent for interviews and surveys
• Ensure anonymity in reporting where required
• Comply with data protection policies (e.g., GDPR or POPIA where applicable)
• Securely store data in password-protected systems

6. Data Collection Timeline Overview

7. Outcomes Dashboard (Suggested Metrics)