From sentiment to action
Interest in customer satisfaction AI is driven by one question: can AI improve retention, not just reporting speed?
What teams should measure
- Resolution quality (not just response time).
- Escalation avoidance rate.
- Issue recurrence within 30 days.
- Human handoff quality score.
Common deployment mistakes
- Optimizing bot containment while hurting experience.
- No taxonomy for dissatisfaction causes.
- No feedback loop between support and product teams.
Recommended rollout model
Use AI for triage and drafting, then enforce reviewer checkpoints for high-risk intents. Weekly error reviews should feed prompt and policy updates.
Customer satisfaction AI works best when connected to operational decisions, not isolated as a dashboard metric.