Identify high-performing services and underused platforms
Understand user needs by region, age, and sector
Refine product offerings and develop targeted campaigns
Support decisions around funding, partnerships, and staffing
Improve learning, social impact, and legislative outcomes
🧱 2. Key Metrics by Domain
🧍♀️ A. User Engagement Metrics
Metric
Purpose
Tools
Active users (daily, weekly, monthly)
Gauge retention
Google Analytics, Firebase
Average session duration
Engagement strength
SayProApp logs
Bounce rates
Platform or content issue flags
GA4
Most viewed pages/services
Product interest mapping
SayPro platform logs
Feature usage by demographics
Segmentation & targeting
SayPro Research CRM
🧑🏫 B. Learning & Training Metrics
Metric
Purpose
Course enrollment by category/region
Align courses with demand
Completion & dropout rates
Improve course quality/support
Learner satisfaction (via GPT-summary of feedback)
Prioritize redesigns
Skills applied post-training (surveyed)
Impact measurement
🌍 C. Community & Social Impact Metrics
Metric
Purpose
NPO/community program attendance
Service relevance
Issue reports raised/resolved
Measure SayPro’s responsiveness
Legislative feedback gathered
Influence on public policy (SCRR-15)
🛍️ D. Product & Service Metrics
Metric
Purpose
Product purchases (SayPro Shop)
Popular categories, pricing insights
Job board applications posted
Sectoral interest
Service request conversions (Tech, Catering, Cleaning)
Operational focus
User referrals & advocacy
Brand strength
💰 E. Financial & Funding Metrics
Metric
Purpose
Campaign ROI (e.g., for fundraising)
Strategic fund growth
Sponsor retention & acquisition
Long-term sustainability
Cost per acquisition (CPA)
Platform efficiency
📈 3. Dashboard Design
Dashboard Layout:
📌 Top-Level Summary (Exec View)
Total users, Total revenue, Most engaged region
Top 3 performing services
📍 Drill-Down by Pillar
Products, Jobs, Courses, Community, Research
📅 Quarter-over-Quarter Comparisons
Trends with % changes
📊 Charts & Widgets
Line graphs (engagement growth)
Pie charts (user types, course categories)
Heatmaps (geographic participation)
GPT-Summary widgets: “What changed this quarter?”
Recommended Stack:
Layer
Tool
Data Ingestion
Google Analytics, Firebase, SayProApp logs
Database
PostgreSQL, Google BigQuery
Visualization
Power BI / Tableau / Looker / Metabase
AI Summary Layer
GPT-4.5 API (for plain-English insights)
Hosting
Embedded inside SayPro Staff Portal or Partner Zone
📅 4. Quarterly Dashboard Schedule
Quarter
Key Focus
Q1 (Jan–Mar)
Baseline setting + launch metrics
Q2 (Apr–Jun)
Feature usage & service refinement
Q3 (Jul–Sep)
Engagement growth & donor insights
Q4 (Oct–Dec)
Year-end impact & strategic planning
🤖 5. AI-Guided Dashboard Summaries
Embed GPT-generated summaries into each dashboard. Examples:
📈 Quarterly Engagement Summary (GPT Output):
“This quarter, SayPro Jobs saw a 45% increase in applications—driven primarily by rural users aged 18–25. Engagement with SayPro Cleaning Services dropped 22%, likely due to seasonal shifts. Recommend increasing promotion in urban areas for underperforming services.”
🎓 Training Outcomes (GPT Output):
“Dropout rates in the Entrepreneurship course rose to 28%. GPT analysis of learner feedback points to poor module pacing. Suggest breaking content into shorter sections and integrating WhatsApp-based reminders.”
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