SayPro Research-Led Improvement Framework
🎯 Goal:
Empower staff and learners to collaboratively shape the evolution of SayPro’s services through continuous, evidence-driven improvement cycles.
SayPro Step-by-Step Model: E.I.L.A. Cycle
(Engage – Investigate – Learn – Act)
1. ✅ Engage – Co-define the Problem
Tools: Surveys, focus groups, GPT-assisted brainstorming
Actions:
- Invite staff & learners to voice concerns or suggest topics
- Use GPT to create engaging prompts like: “What challenges do you face in completing your SayPro modules?”
“As a facilitator, what support tools could improve your impact?”
Outcomes:
- Shared ownership of the problem
- Clear research questions
2. 🔍 Investigate – Collect and Analyze Data
Tools: Interviews, digital logs, feedback forms, GPT for analysis
Actions:
- Run feedback loops (surveys, interviews)
- Use GPT to analyze themes from qualitative input “Summarize key learning challenges across all cohorts.”
“Compare staff feedback by region.”
Outcomes:
- Evidence-based insight into real issues
- Patterns and root causes identified
3. 📚 Learn – Share Insights and Co-Design Solutions
Tools: Workshops, GPT ideation sessions, collaborative boards
Actions:
- Host co-design labs with learners and staff
- Use GPT to generate solution options “Based on these issues, suggest three ways SayPro could improve learner motivation.”
Outcomes:
- Joint innovation and solution proposals
- Increased buy-in and relevance
4. 🛠️ Act – Pilot and Evaluate Changes
Tools: Pilot groups, reflection logs, impact metrics
Actions:
- Implement micro-changes (e.g., revised module, new support channel)
- Monitor outcomes
- Use GPT to synthesize reflections “Evaluate pilot outcomes across metrics and learner feedback.”
Outcomes:
- Validated improvements
- Data to scale or adjust
SayPro Repeat the Cycle:
Each cycle feeds into the next — continuously evolving SayPro’s offerings in line with real-world needs.
SayPro Tools & Supports to Enable the Cycle:
- SayPro GPT Feedback Hub – Auto-generate, analyze, and summarize feedback
- Monthly “What We Learned” Reports – GPT summarizes outcomes to share with all stakeholders
- Improvement Suggestion Tracker – Airtable/Notion board to log ideas, progress, and results
SayPro Sample GPT Prompt for Staff Use:
“Based on recent learner feedback about [topic], suggest practical adjustments we can test in the next cohort. Consider feasibility and learner impact.”
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