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SayPro Analyze both qualitative and quantitative data to assess the performance of programs

Email: info@saypro.online Call/WhatsApp: + 27 84 313 7407

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Written by

Itumeleng Malete

in

SayPro Data Analysis Guide: Assessing Program Performance

1. Clarify Evaluation Goals

Before starting analysis, define:

  • What are we trying to measure?
  • What questions are we answering (e.g., effectiveness, efficiency, impact)?
  • What key performance indicators (KPIs) are being assessed?

2. Organize the Data

Quantitative Data Examples

  • Number of participants enrolled/completed
  • Test scores (pre-/post-training)
  • Employment outcomes
  • Attendance and engagement metrics
  • Budget vs actual spend

Qualitative Data Examples

  • Feedback from interviews and focus groups
  • Open-ended survey responses
  • Observational notes
  • Case studies and testimonials

3. Analyze Quantitative Data

Techniques:

  • Use descriptive statistics (mean, median, percentages)
  • Compare baseline vs. post-program data
  • Track trends over time (e.g., month-to-month improvements)
  • Disaggregate by demographics (age, location, gender, etc.)

Tools:

  • Excel or Google Sheets
  • Data visualization tools (Power BI, Tableau)

Questions to Ask:

  • Are we meeting our targets?
  • Are there patterns or gaps in performance?
  • Are some groups performing better or worse?

4. Analyze Qualitative Data

Steps:

  1. Code the Data – Assign labels to key themes or categories (e.g., “access issues,” “positive impact,” “facilitator quality”)
  2. Group & Compare – Look for patterns, frequently mentioned topics, and contradictions
  3. Extract Quotes – Use direct feedback to illustrate findings

Tools:

  • NVivo, Dedoose (for advanced coding)
  • Manual coding with spreadsheets or documents

Questions to Ask:

  • What are the recurring strengths and weaknesses?
  • What deeper insights explain quantitative trends?
  • Are there specific quotes or examples that highlight impact?

5. Synthesize the Findings

Combine both data types to create a full picture:

  • Example: High dropout rate (quantitative) + participant comments about session timing or digital access issues (qualitative)

Structure findings into categories:

  • Program design
  • Delivery & facilitation
  • Participant outcomes
  • Satisfaction & engagement
  • Cost-effectiveness

6. Report & Use the Insights

In your report or presentation:

  • Use charts and tables for numbers
  • Use quotes and summaries for qualitative insights
  • Highlight what’s working well, what needs improvement, and what should change
  • Neftaly Malatjie | CEO | SayPro
  • Email: info@saypro.online
  • Call: + 27 84 313 7407
  • Website: www.saypro.online

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