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AI Product Launch Checklist

Monitoring & Operations

Keep your AI product healthy, performant, and improving with comprehensive monitoring.

Key Metrics to Track

System Health

  • Uptime and availability (target: 99.9%+)
  • API response times (p50, p95, p99)
  • Error rates and types
  • Request volume and traffic patterns

AI Performance

  • Model inference latency
  • Output quality scores (user ratings, acceptance rate)
  • Model accuracy on production data
  • Failure rate (errors, timeouts, bad outputs)

User Behavior

  • Daily/monthly active users (DAU/MAU)
  • Feature usage and adoption
  • User retention (Day 1, Day 7, Day 30)
  • Conversion rates (trial to paid)

Costs

  • AI API costs per user/request
  • Infrastructure costs (hosting, storage, bandwidth)
  • Cost per acquisition (CAC)
  • Unit economics (LTV/CAC ratio)

Alerting & Incident Response

Set up alerts for:

  • System downtime or degraded performance
  • Error rate spikes (> 5% above baseline)
  • Latency increases (p95 > threshold)
  • Cost anomalies (unexpected spending spikes)
  • Model performance degradation
  • Security incidents or suspicious activity

Incident Response Plan:

  1. Detect: Automated monitoring triggers alert
  2. Triage: Assess severity and impact
  3. Communicate: Update status page, notify affected users
  4. Resolve: Fix root cause or implement workaround
  5. Post-mortem: Document what happened, why, and how to prevent recurrence

Feedback Loops

Collect feedback at multiple touchpoints:

  • Thumbs up/down on AI outputs
  • User corrections and regenerations
  • Support tickets and bug reports
  • NPS surveys and satisfaction scores
  • Feature requests and improvement suggestions

Close the loop:

  • Use negative feedback to improve prompts, models, or features
  • Acknowledge user suggestions and communicate when implemented
  • Share metrics and improvements publicly to build trust

Key Takeaways

  • Monitor system health, AI performance, user behavior, and costs continuously
  • Set up automated alerts for critical issues—don't wait to discover problems
  • Have an incident response plan ready before you need it
  • Create feedback loops to continuously improve your product