A conversational AI chatbot that collects NPS scores, satisfaction ratings, and open-ended feedback, then routes unhappy customers to support.
Replace static survey forms with a conversational feedback bot that feels natural. The AI asks customers to rate their experience, collects a numeric NPS or CSAT score, then adapts follow-up questions based on the rating. Promoters are asked for testimonials and referrals. Passives receive questions about what would improve their experience. Detractors are immediately offered support escalation so your team can resolve issues before the customer churns. The bot can trigger after key moments, post-purchase, after a support interaction, or at regular intervals for relationship surveys. Conversational surveys achieve 3-4x higher completion rates than email surveys because they feel like a dialogue rather than a form.
How would you rate your experience today?
What could we improve?
Would you recommend us to a colleague?
What was the best part of your experience?
Is there anything we could have done better?
Can we follow up with you about your feedback?
NPS and CSAT score collection
Adaptive follow-up questions based on rating
Open-ended feedback capture with AI summarization
Detractor alert and support escalation
Promoter testimonial and referral requests
Post-interaction and scheduled survey triggers
Your survey volume is small enough that a single ops person can read and tag responses by hand.
Your compliance team requires every survey question to be reviewed before publication.
You already use a dedicated survey tool with downstream integrations and a bot would fragment data.
Conversational surveys achieve 3-4x higher completion rates because they feel like a natural chat rather than a form. They also allow adaptive follow-up: the AI asks different questions based on the rating, which produces richer insights.
Yes. When a customer gives a low score (detractor), the AI empathizes, collects issue details, and offers to connect them with a support agent immediately. Your team gets an alert with the feedback context.
Feedback data can be exported via webhooks or Zapier to tools like Google Sheets, HubSpot, or your data warehouse. NPS scores and feedback summaries are available in the Chatsy dashboard.
The AI summarizes and categorizes free-text feedback into themes, saving hours of manual analysis and surfacing patterns quickly.
Reduction in time to identify feedback themes through AI-powered categorization and summarization {{VERIFY: Chatsy outcome | needs customer case study}}
Turn your static FAQ page into an interactive AI assistant that answers questions in natural conversation.