SayPro Compile and analyze SayPro website user data and feedback to understand real-time customer interactions and needs.
SayPro is a Global Solutions Provider working with Individuals, Governments, Corporate Businesses, Municipalities, International Institutions. SayPro works across various Industries, Sectors providing wide range of solutions.
Email: info@saypro.online Call/WhatsApp: Use Chat Button 👇
Task: Compile and Analyze Website User Data & Customer Feedback Department: SayPro Economic Impact Studies Research Office Oversight: SayPro Research Royalty Reporting Period: Monthly (e.g. June 2025) Linked Project: SCRR-21 – Market Fit and Customer Alignment
1. 🎯 Purpose
This task aims to extract actionable insights from SayPro’s digital platform usage data and customer feedback logs to:
Track how users navigate SayPro’s services online
Identify drop-off points, frequently accessed features, and unmet needs
Integrate findings into service redesign, onboarding improvements, and content strategy
2. 📂 Data Sources to Compile
Source
Description
Tool / Access Point
Google Analytics / GA4
User traffic data, session behavior, location
analytics.saypro.org / GA dashboard
SayPro Feedback Widget
User-submitted questions, complaints, comments
Web feedback module (linked to CRM)
CRM Chat Logs & Inquiries
Real-time queries and support issues
SayPro LiveChat archive / Helpdesk Export
Exit Survey Data
Feedback from users leaving the site or closing sessions
A. Quantitative Web Analytics (from GA4 or equivalent)
Metric
Insight Purpose
Pageviews per Feature
Which services/tools attract the most traffic
Bounce Rate by Page
Where users are dropping off
Session Duration & Depth
How long users engage and what they explore
Geo-location Heatmap
Regional demand and traffic intensity
Device/Browser Analysis
Accessibility and mobile responsiveness
Conversion Funnel Performance
% of users who register, apply, or enroll
B. Qualitative Feedback (from Chat, Forms, etc.)
Source
What to Extract
Use for…
Feedback Widget
Common requests, complaints, pain points
Product improvement, FAQs
LiveChat Logs
Confusion patterns, recurring help topics
UX redesign, help center improvement
Exit Surveys
Reasons for leaving, unmet expectations
Market fit gaps, user guidance
Search Queries
What users are trying to find but cannot
Navigation and content optimization
4. 📈 Analysis Techniques
A. Thematic Coding of Feedback
Use tools like Excel, NVivo, or GPT-4 to group feedback into themes: Navigation Issue, Service Relevance, Language Barrier, Pricing Confusion, Value Clarity
B. Trend Mapping
Identify the top 5 recurring issues per month
Detect growth/decline in service interest by tracking page view trends over 90 days
C. Segment-Based Analysis
Compare user behavior and feedback by customer segment: Students, SMEs, Government Agencies, NGOs, Job Seekers
D. Clickstream Flow Analysis
Map popular vs. underused paths on the website to improve UX and CTA placement
5. 📝 Reporting Format
Compile the analysis into a monthly SayPro Website Interaction Insight Report, including:
Section
Content Example
Executive Summary
“Users from Francophone Africa experience high bounce rates…”
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