SayPro – Qualitative Data Analysis & Insight Extraction Framework

1.SayPro Preparation: Organize Raw Data

• Gather all qualitative sources: interview notes, transcripts, survey open-ends, feedback forms.
• Standardize formatting (e.g., CSV or Excel for surveys, Word/Google Docs for interviews).
• Anonymize data if needed.

✅ Tip: Use one row per respondent and one column per theme/topic for clarity.

2.SayPro Develop a Coding Framework

Create a set of codes or tags based on recurring topics. Start with the SayPro priority themes:

✅ Tip: Use software like Excel, Airtable, NVivo, or even Google Sheets for tagging.

3.SayPro Code the Data

• Go through each piece of qualitative input.
• Highlight and assign one or more codes.
• Note compelling quotes under each category.

4.SayPro Analyze for Patterns and Trends

Look for:

• Frequency – Which topics appear most often?
• Consistency across regions or roles – Do facilitators and learners say the same things?
• Outliers – Unique insights that may spark innovation.
• Sentiment – Positive vs. negative feedback on each theme.

✅ Example Insight:
“60% of learners across East and West Africa mentioned the need for more practical exercises in the curriculum.”

5.SayPro Summarize and Extract Actionable Insights

Insight Summary Example Table:

6.SayPro Deliver a Monthly Qualitative Insights Brief

Include:

• Top 3–5 emerging trends
• Direct quotes (to keep it human and real)
• Practical recommendations
• Regional or stakeholder-type comparisons
• Visuals (word clouds, sentiment charts, theme frequency tables)

SayPro Tools You Can Use

• Manual: Excel, Google Sheets, Word
• AI-Assisted: ChatGPT (you can paste your data here)
• Advanced: NVivo, Dedoose, MAXQDA for coding at scale

✅ Final Recommendation:

Create a “Qualitative Insights Dashboard” updated monthly with key themes, actions taken, and improvements tracked over time. This helps SayPro close the feedback loop and show stakeholders how their input drives change.