SayPro Analyze the data to identify trends, patterns, and areas for improvement

SayPro: Program Data Analysis Report Purpose To transform collected qualitative and quantitative data into actionable insights that highlight trends, patterns, strengths, and areas needing improvement across SayPro’s programs. 1. Data Sources Analyzed Source Type Pre- and post-training assessments Quantitative Surveys (participants, facilitators, employers) Mixed Attendance and completion records Quantitative Interviews and focus groups Qualitative LMS … Continue reading SayPro Analyze the data to identify trends, patterns, and areas for improvement