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SayPro Collect relevant data (qualitative and quantitative) on program outcomes
Email: info@saypro.online Call/WhatsApp: + 27 84 313 7407
SayPro is a Global Solutions Provider working with Individuals, Governments, Corporate Businesses, Municipalities, International Institutions. SayPro works across various Industries, Sectors providing wide range of solutions.
SayPro: Data Collection Framework for Program Outcomes
Purpose
To systematically collect both quantitative and qualitative data that demonstrate the effectiveness, reach, and long-term value of SayPro’s programs in achieving learning and development goals.
1. Types of Data to be Collected
A. Quantitative Data
These provide measurable evidence of progress and outcomes:
| Indicator | Metric Example | Data Source |
|---|---|---|
| Completion Rates | % of learners completing all modules | LMS or attendance logs |
| Knowledge Gain | Difference in pre- and post-test scores | Program assessments |
| Skills Application | % of learners applying skills at work | Follow-up surveys |
| Organisational Impact | Productivity, retention, client satisfaction | Employer reports |
| Satisfaction Scores | Avg. rating of content, delivery, support | Post-program surveys |
| ROI | Cost-benefit analysis of training investment | Finance & HR records |
B. Qualitative Data
These provide in-depth insight into learner experiences and perceived impact:
| Type | Focus | Collection Tool |
|---|---|---|
| Open-ended feedback | Reflections on what worked or didn’t | Surveys, LMS comments |
| Interview data | Personal narratives of transformation | 1-on-1 interviews |
| Focus group themes | Shared patterns of experience and value | Facilitated sessions |
| Case studies | Real-life application and long-term benefits | Learner and employer testimonials |
| Observational notes | Behavioural shifts during or after training | Facilitator logs and M&E reports |
2. Data Collection Instruments
- Surveys
Pre- and post-program surveys, with Likert scales and open-ended prompts - Knowledge Assessments
Customised tests aligned with learning outcomes - Interviews
Semi-structured questions focused on changes in behaviour, attitudes, and performance - Focus Groups
Thematic discussions grouped by learner type, industry, or region - Employer Feedback Forms
Simple, structured input from supervisors on performance and value - Monitoring Reports
Internal facilitator and coordinator reports based on session observations
3. Frequency & Timing
| Stage | Data Collected | Timing |
|---|---|---|
| Pre-Program | Baseline knowledge, goals, expectations | At registration |
| During Program | Engagement metrics, session feedback | Ongoing, weekly or module-end |
| Post-Program | Knowledge gained, satisfaction, application intent | Immediately after |
| Follow-Up | Long-term application and organisational impact | 3 and 6 months after completion |
4. Responsible Teams
| Task | Responsible Party |
|---|---|
| Tool design | Monitoring & Evaluation Team |
| Survey deployment | Program Coordinators |
| Data analysis | Data Analysts & Evaluation Lead |
| Reporting | Insights & Strategy Unit |
5. Ethical Considerations
- Ensure informed consent is obtained for all data collection
- Protect participant confidentiality and anonymity
- Use data solely for program improvement and impact evaluation
- Allow participants to opt out at any time
6. Outputs
- Outcome Dashboard (quantitative metrics visualised)
- Impact Report (narrative + data-driven summaries)
- Case Study Compendium
- Presentation to Stakeholders
Conclusion
A comprehensive data collection process ensures SayPro has the evidence needed to evaluate outcomes, demonstrate impact, and guide continuous improvement. Combining numbers with stories leads to a deeper, more accurate understanding of program success.
- Neftaly Malatjie | CEO | SayPro
- Email: info@saypro.online
- Call: + 27 84 313 7407
- Website: www.saypro.online
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