Feature Performance, User Behavior & Product Intelligence
Active users by hour and day of week (darker = higher usage)
| Feature | DAU/MAU Ratio | Avg. Session Time | Performance (p95) | Error Rate | User Satisfaction | Revenue Impact |
|---|---|---|---|---|---|---|
| Dashboard | 42.3% | 8m 34s | 234ms | 0.03% | 92 | $2.4M/mo |
| AI Assistant | 38.7% | 12m 18s | 487ms | 0.12% | 89 | $1.8M/mo |
| Reports | 24.1% | 6m 42s | 892ms | 0.28% | 76 | $0.9M/mo |
| API | 18.9% | N/A | 127ms | 0.08% | 94 | $1.2M/mo |
| Mobile | 31.2% | 4m 23s | 1.2s | 0.47% | 81 | $0.6M/mo |
| Settings | 8.4% | 2m 15s | 2.1s | 0.92% | 62 | -$0.1M/mo |
¹ Feature Adoption Metrics: Calculated as unique monthly active users per feature divided by total monthly active users. Data collected via Mixpanel and internal telemetry. Adoption defined as 3+ uses within 30-day window. Updated daily at 02:00 UTC.
² Usage Heatmap: Based on server-side activity logs aggregated in 1-hour blocks. Normalized by total user base to account for growth. Timezone: EST/EDT. Data includes web, mobile, and API usage. Excludes internal testing and bot traffic.
³ Performance Metrics: DAU/MAU ratio indicates feature stickiness. Session time measured from first interaction to 30 minutes of inactivity. P95 latency from Datadog APM. Error rate includes 5xx errors and client-side exceptions. Satisfaction from in-app micro-surveys (n=12,847 last 30 days).
⁴ Retention Analysis: Cohort-based retention calculated from first feature use. Day 0 = first use, subsequent days show percentage still active. "Active" defined as any feature interaction. Excludes users who churned from platform entirely. Statistical significance: p < 0.05.
⁵ User Journey Analysis: Based on clickstream data from 50K randomly sampled users in last 30 days. Paths show most common navigation patterns. Minimum 100 users per path shown. Drop-off rates calculated at each step. Privacy-compliant aggregation applied.
⁶ Feature Requests: Aggregated from in-app feedback widget, support tickets, and community forum. Deduplicated using NLP similarity matching. Vote counts include all user segments. Implementation effort estimated by engineering team.
⁷ A/B Test Methodology: Random assignment with 50/50 split. Minimum sample size calculated for 80% power at α=0.05. Tests run minimum 14 days to account for weekly cycles. Novelty effects excluded by removing first 48 hours. Bayesian statistics used for early stopping.
Data Governance: All product analytics comply with GDPR/CCPA requirements. User privacy maintained through anonymization and aggregation. Raw event data retained for 90 days, aggregated data for 2 years. Access restricted to product and analytics teams.