SayPro – Data Input Guide
📊 Research Analysis Framework Input Template
SayPro Purpose
The SayPro Research Analysis Framework is used to collect, structure, and interpret data for program development, policy advocacy, youth engagement, and impact measurement.
Inputting data correctly ensures:
- Consistent and clean data sets
- Valid insights during analysis
- Better reporting and accountability
SayPro Core Data Fields in the Framework
Below is a standard template structure used in the SayPro Research Analysis Framework:
| Field Name | Description |
|---|---|
| Respondent ID | Unique ID number or code assigned to each participant |
| Date Collected | Date when the data was collected (YYYY-MM-DD format) |
| Location | Community, ward, province, or geographic area |
| Age | Age of respondent |
| Gender | Male / Female / Non-binary / Prefer not to say |
| Education Level | Highest qualification (e.g., Grade 12, Diploma, Degree) |
| Employment Status | Employed / Unemployed / Student / Other |
| Motivation Score | Numeric or coded score based on responses (e.g., scale of 1–5 or low/medium/high) |
| Perception Indicator | Insight into how respondents perceive the issue (e.g., positive/neutral/negative) |
| Attitude Statement | Recorded or coded attitude (e.g., “strongly agree” to “strongly disagree”) |
| Comments/Quotes | Optional open-ended responses or quotes |
| Data Collector Name | Name or code of the person who conducted the interview or survey |
| Verification Status | Confirmed / Pending / Rejected |
SayPro Example Input Row
| Respondent ID | Date Collected | Location | Age | Gender | Education Level | Employment Status | Motivation Score | Perception Indicator | Attitude Statement | Comments/Quotes | Data Collector | Verification |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R2025-0001 | 2025-01-15 | Gauteng | 22 | Female | Diploma | Unemployed | 4 | Positive | Agree | “I want to start my own biz” | Jane D. | Confirmed |
SayPro How to Input Your Data
Option 1: Manual (Excel / Google Sheets)
- Use the table format above as column headers.
- Input data row by row.
- Use dropdowns or data validation for fields like Gender, Verification, etc.
Option 2: Survey-to-Framework (Using Google Forms, KoboToolbox, or SayPro’s internal tools)
- Link form fields directly to the framework fields.
- Export as CSV or Excel, then import into SayPro’s central database.
SayPro Data Quality Tips
- Always verify that Respondent ID is unique.
- Ensure dates are in a consistent format (YYYY-MM-DD).
- Use coded values for quantitative fields (e.g., 1 = Strongly Disagree, 5 = Strongly Agree).
- Clean text fields to avoid duplicates and inconsistencies.
- Use filters to quickly check for blank fields or anomalies.
SayPro Submission & Storage
- Submit your completed data sheet to: research@saypro.online
- Upload to SayPro Research Drive → Folder: January 2025 – Input Data
- Confirm upload with your supervisor using the Task Log Sheet
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