This customer feedback form is built for teams that want a clearer view of how users experience an AI chatbot during support and service interactions. It captures the details that matter most, including response accuracy, conversation quality, whether the chatbot understood the request, and whether the issue was fully resolved.
The template also adds useful context around the interaction itself. You can ask what the conversation was about, when it happened, how fast the chatbot responded, and what blocked progress if the experience fell short. That makes it easier to separate isolated complaints from recurring issues in billing, troubleshooting, product questions, setup guidance, shipping, or returns.
It is especially useful when you need to evaluate not just satisfaction, but the full support journey. Questions about escalation to a human agent and the ease of that handoff help teams identify where the chatbot experience ends and live support needs to improve. The result is a practical satisfaction survey you can use to guide product, support, and UX decisions with real user feedback.
