Student Profile Product System · Companion Document 15
KPI and Analytics Dashboard Specification
The measurement framework for tracking product value, conversion, satisfaction, quality, retention, and channel performance.
Dashboard Purpose
The dashboard should measure whether the product is commercially viable, whether students find the output useful, and whether the workflow is producing high-quality profiles without excessive manual correction.
KPI Categories
| Category | Purpose |
|---|
| Acquisition | Understand which channels produce qualified users. |
| Conversion | Measure landing page, checkout, and start rates. |
| Completion | Track whether students finish intake and interview. |
| Output Quality | Measure recognition, usefulness, and revision needs. |
| Revenue | Track sales, refunds, gross margin, and package mix. |
| Referral | Measure word-of-mouth potential. |
| Operational Load | Track manual review and support burden. |
| Safety/Trust | Track deletion requests, sensitive disclosures, complaints, and privacy issues. |
Core Metrics
| Metric | Definition | Target |
|---|
| Landing Page Conversion | Email capture or start rate from landing visitors. | 5–10% |
| Checkout Conversion | Purchase rate from pricing page visitors. | 2–10% depending on traffic warmth |
| Interview Completion Rate | Users who complete the guided interview. | 70%+ |
| Profile Delivery Time | Time from completion to delivered profile. | Same day for MVP, instant later |
| Student Recognition Score | Student says profile sounds like them. | 8/10+ |
| Interview Usefulness Score | Student rates usefulness for interviews. | 8/10+ |
| Referral Intent | Student would send to a friend. | 30%+ |
| Refund Rate | Paid users requesting refund. | <5% |
| Revision Request Rate | Users requesting material edits. | <25% |
| Gross Margin | Revenue after variable cost. | 75–90% target |
Quality Dashboard
| Quality Signal | Why It Matters |
|---|
| Generic Output Flag | Detects profiles that sound templated. |
| Unsupported Claim Count | Measures evidence discipline. |
| Unknowns Captured | Ensures missing data is not fabricated. |
| Blind Spots Included | Prevents pure flattery. |
| aboutme.md Export Quality | Ensures technical deliverable is useful. |
| User Edit Frequency | Shows where generated output misses. |
Channel Dashboard
| Channel | Metrics |
|---|
| TikTok/Reels | views, click-through, free snapshot starts, paid conversion |
| LinkedIn | post engagement, parent/career coach leads, conversion |
| Reddit | qualitative pain discovery, traffic, comments |
| Campus Ambassadors | referral code usage, paid users per ambassador, CAC |
| Career Coaches | partner signups, client profiles generated |
| Parents | gift package conversion, premium review uptake |
Executive Dashboard Layout
- Top-line revenue.
- Paid profiles sold.
- Average selling price.
- Conversion rate by channel.
- Completion rate.
- Recognition score.
- Refund rate.
- Referral rate.
- Manual QA time per profile.
- Top product defects.
- Next recommended action.
Instrumentation Requirements
- Track source channel on all starts and purchases.
- Track interview progress by module.
- Track time-to-completion.
- Capture satisfaction immediately after delivery.
- Capture revision reason categories.
- Separate student-paid, parent-paid, and coach-paid purchases.
- Track deletion requests and privacy concerns.