SayPro website portal using standardized templates

Data Collection and Entry: SayPro Protocol

1. Prepare Standardized Templates

• Use SayPro’s approved templates for data capture to ensure uniformity.
• Templates should include fields for:
  • Date, time, and location of observation
  • Consumer demographic info (if available)
  • Interaction types (e.g., product touch, questions asked)
  • Duration of interaction (dwell time)
  • Purchase decision outcomes
  • Promotional engagement

2. Collect Data Systematically

• Observers or data collectors use physical forms or digital apps during observations.
• Ensure real-time or near-real-time entry to minimize errors or memory bias.
• Record objective, clear, and consistent information.

3. Verify Data Accuracy

• Cross-check entries daily or at the end of each observation shift.
• Use a checklist to confirm all required fields are complete.
• Resolve discrepancies with observers immediately.

4. Access SayPro Website Portal

• Log in securely using assigned credentials.
• Navigate to the Consumer Interaction Data Entry module.
• Select the relevant store/outlet and date.

5. Data Entry Procedure

• Enter data using SayPro’s standardized online forms.
• Use dropdown menus and checkboxes where available to reduce entry errors.
• Input numerical data carefully (e.g., dwell time in minutes).
• Attach relevant notes or upload photos/videos if permitted.

6. Save and Submit

• Review data entry for accuracy.
• Save drafts regularly to avoid data loss.
• Submit completed forms for processing and analysis.

7. Data Backup and Security

• Ensure data is stored securely within the SayPro system.
• Regularly back up data per SayPro IT protocols.
• Maintain confidentiality and follow data privacy regulations.

8. Quality Control and Monitoring

• Supervisors review submitted data weekly.
• Run validation reports to identify anomalies or missing data.
• Provide feedback to data collectors for continuous improvement.

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Benefits of Standardized Data Entry

• Enables consistent data analysis across outlets and time periods.
• Facilitates quick identification of behavioral trends.
• Supports data-driven decision making for promotions, layouts, and training.
• Ensures data integrity and security.