Product Funnel Analysis — Drop-off Diagnostic

Analyze the following product funnel data and identify the biggest opportunities.

**Funnel data:**
[paste your funnel steps with user counts, e.g.:
Step 1: Landing page — 10,000 users
Step 2: Signup started — 3,200 users
Step 3: Signup completed — 1,800 users
Step 4: Onboarding — 1,200 users
Step 5: First value action — 450 users
Step 6: Day 7 retention — 280 users]

**Analysis:**

1. **Conversion rates** per step (calculate and display as table)
2. **Biggest drop-off**: Which step loses the most users? Quantify the opportunity.
3. **Root cause hypotheses** (3 per major drop-off):
   - UX friction (too many steps, confusing UI)
   - Value proposition gap (user doesn't see benefit yet)
   - Technical issues (slow load, errors, compatibility)
4. **Benchmarks**: How do these rates compare to industry standards for [product type]?
5. **Prioritized fixes** (Impact × Effort matrix):
   - Quick wins (high impact, low effort)
   - Strategic investments (high impact, high effort)
   - Deprioritize (low impact)
6. **Experiments to run** (3 A/B test hypotheses with expected lift)

**Context**: [B2B SaaS / B2C app / E-commerce / Marketplace]
**Current activation metric**: [define what "activated" means for your product]