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Use Cases & Examples

Customer Feedback

Use AI to collect, analyze, and act on customer feedback more effectively.

Feedback Form Types

Product Feedback

  • Feature requests and ideas
  • Usability issues and bug reports
  • Product satisfaction (NPS/CSAT)
  • Beta testing feedback

Customer Experience

  • Post-purchase surveys
  • Support interaction ratings
  • Onboarding feedback
  • Churn/cancellation interviews
  • Customer effort score (CES)

Continuous Improvement

  • Quarterly check-ins
  • Feature adoption surveys
  • Competitive insights

AI-Powered Features

Adaptive Questioning

  • Low satisfaction score? AI automatically asks follow-up questions
  • Mention a feature? AI probes for specifics
  • Report a bug? AI requests reproduction steps
  • Positive feedback? AI identifies expansion opportunities

Sentiment-Aware Routing

  • Negative feedback → Immediate alert to customer success
  • Urgent issues → Escalation workflow triggered
  • Feature requests → Product team notification
  • Promoters → Request testimonial or referral

Automatic Analysis

  • Theme extraction from open-ended responses
  • Sentiment trends over time
  • Priority scoring for feature requests
  • Churn risk identification

Best Practices

Timing

  • Post-purchase: 3-7 days after delivery
  • Post-support: Within 24 hours of case closure
  • Product updates: 2 weeks after feature launch

Close the Loop

  • Acknowledge all feedback
  • Share what changes were made
  • Re-survey after improvements
  • Thank promoters publicly

Integrate with Zendesk, Intercom, Slack, and Productboard to automate workflows and close the feedback loop.