Course Analytics Dashboard: Tracking Student Behavior and Revenue Metrics
Build a comprehensive analytics dashboard that tracks student engagement, completion rates, revenue metrics, and marketing performance in one unified view.
Design an analytics dashboard that gives course creators complete visibility into student behavior, course performance, and business metrics, enabling data-driven decisions to improve both learning outcomes and revenue.
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Prompt objective
Design an analytics dashboard that gives course creators complete visibility into student behavior, course performance, and business metrics, enabling data-driven decisions to improve both learning outcomes and revenue.
Real use case
A course creator with 5 courses on Hotmart has no unified view of performance. They check revenue in Hotmart, engagement in the member area, and marketing in separate tools. A unified dashboard would reveal patterns and opportunities.
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Prompt
Design a course analytics dashboard for [CREATOR NAME] with [NUMBER] courses and [NUMBER] total students. **Dashboard Sections:** **Section 1 — Revenue Overview:** - Total revenue (monthly, quarterly, annually) - Revenue by course - Revenue by traffic source - Average order value - Refund rate and amount - Revenue trend (12-month line chart) **Section 2 — Student Engagement:** - Active students (last 7/30/90 days) - Course completion rate by course - Average time to completion - Most-watched lessons - Drop-off points (lessons with highest abandonment) - Community activity (posts, comments, logins) **Section 3 — Marketing Performance:** - Traffic sources and conversion rates - Cost per acquisition by channel - Email list growth and engagement - Affiliate performance (if applicable) - Campaign ROI - Funnel metrics: visitors → leads → buyers **Section 4 — Student Satisfaction:** - Course ratings and reviews - NPS score - Support ticket volume and resolution time - Most common questions/complaints - Testimonial collection rate **Section 5 — Predictive Insights:** - Students at risk of dropping out - Revenue forecast (next 30/90 days) - Best time to launch promotions - Content gaps (high demand, low supply) **Data Sources:** - Course platform: [HOTMART/EDUZZ/KAJABI/TEACHABLE] - Email marketing: [ACTIVECAMPAIGN/CONVERTKIT] - Payment processor: [STRIPE/MERCADOPAGO] - Analytics: [GOOGLE ANALYTICS] - Community: [DISCORD/CIRCLE] **Implementation:** - Tool: [GOOGLE LOOKER STUDIO/POWER BI/NOTION/DATABOX] - Data connectors and API integrations - Automated refresh schedule - Access permissions (creator vs. team) - Mobile-responsive design Include dashboard wireframe, data source mapping, and KPI definition document.
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- 1Replace the key placeholders first: CREATOR NAME, NUMBER, HOTMART/EDUZZ/KAJABI/TEACHABLE, ACTIVECAMPAIGN/CONVERTKIT.
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