Monitor customer satisfaction with survey-based feedback

Description

High-quality support goes beyond providing quick resolutions; it involves understanding how customers truly feel after every interaction. With Yuma's Support AI, you can monitor customer satisfaction through survey-based feedback at scale, without adding extra steps for your team. Whenever a ticket is resolved, whether it's a simple question or a complex refund request, Support AI automatically triggers a short, customizable survey. These surveys gather essential insights on service quality, turnaround time, and overall customer sentiment. You receive real-time data on customer satisfaction and, more importantly, understand the reasons behind it. All the information feeds directly into your helpdesk and analytics tools, enabling you to identify what’s working well and where improvements are needed. By combining fast, AI-driven ticket resolutions with direct customer feedback, Yuma's Support AI ensures that your support strategy is not only efficient but also continually refined to delight your customers.

User Example

A South Carolina-based online boutique sells artisan-crafted home décor items. Their team prides itself on quick responses, but struggles to gauge whether their overall service truly meets or exceeds customer expectations. Some buyers leave positive reviews, yet the brand has no reliable, systematic way to measure satisfaction across thousands of tickets each month.

To address this, the retailer uses Support AI by Yuma, enabling it to monitor customer satisfaction with survey-based feedback. Now, each resolved ticket, whether about shipping delays or damaged product replacements, prompts a brief, friendly survey. Shoppers can rate their experience, share any concerns, or even highlight standout support interactions. All results flow back into a unified dashboard, helping the retailer quickly spot trends, identify recurring issues, and celebrate high-performing support outcomes. Within weeks, the store notices a spike in survey completions and a clearer understanding of how shoppers feel post-interaction. Armed with these insights, the team refines its approach to answer common questions faster and reduce recurring pain points, elevating overall satisfaction in the process.