Customer feedback has long been a cornerstone of contact centre strategy, but the way it’s collected hasn’t kept pace with how customers actually interact.
Traditional methods like surveys and reviews capture only a fraction of voices, often relying on customers to opt in.
The result? Limited, biased insights that don’t fully reflect the real customer experience.
To find out more, we spoke to Jonathan “Kenu” Escobedo, Customer Success Manager at Miarec, about how a new approach is emerging and contact centres are using AI-powered conversation intelligence to unlock feedback directly from everyday interactions at scale, in real time, and without asking customers to do anything extra.
Video: Customer Feedback: Embed Feedback Directly Into Daily Workflows
Watch the video below to hear Jonathan explain what contact centres need to do to upgrade HOW they listen to customer feedback and the importance of embedding feedback directly into daily workflows:
With thanks to Jonathan “Kenu” Escobedo, Customer Success Manager at Miarec, for contributing to this video.
This video was originally published in our article ‘Upgrade How You Listen to Customer Feedback’
Reinventing Customer Feedback With AI
The Limits of Traditional Feedback Methods
Surveys and reviews have their place, but they come with inherent challenges, such as:
- Low response rates
- Self-selecting participants
- Delayed or incomplete insights
This means contact centres are often making decisions based on a small and potentially unrepresentative sample of their customer base.
“Traditional feedback methods capture only a small sample of the customer base, as they rely on opt-in channels like surveys and reviews. With low response rates, organizations are left with limited and often unrepresentative data.”
To truly understand customer experience, feedback needs to be continuous, comprehensive, and effortless.
Capturing Feedback From Every Conversation
Every interaction, whether it’s a call, chat, or email, contains valuable insight. Customers naturally express frustrations and pain points, unmet needs, positive experiences and satisfaction.
AI-powered conversation intelligence tools analyse these interactions automatically, extracting signals at scale, as Jonathan explains:
“To transform how feedback is captured, contact centres should move beyond surveys and adopt AI powered conversation intelligence tools that automatically analyse interactions at scale.
Conversations across calls, chats, and emails contain rich signals, including friction points, unmet needs, and moments of satisfaction. These tools can also quantify customer experience metrics directly from conversations.
By leveraging them, organizations can capture feedback continuously and without customer effort, ensuring insights reflect the full customer base rather than a small self-selected group.”
They can even quantify customer experience metrics directly from conversations, without relying on explicit survey responses.
This approach transforms feedback from something customers give into something contact centres discover, which ensures insights reflect the entire customer base, not just a vocal minority.
Turning Data Into Insight at Scale
Collecting data is only the first step, but the real challenge is making sense of it.
Many contact centres still rely on manual reviews or small data samples, limiting their ability to identify trends.
“Turning customer feedback into meaningful insight requires more than collecting data. It requires the ability to analyse it at scale.
Many contact centres still depend on manual reviews or limited datasets, making it difficult to identify patterns or emerging trends.
Modern approaches use automated analysis to evaluate thousands of interactions, uncovering patterns in the drivers of customer satisfaction and dissatisfaction.
This enables teams to identify root causes of frustration, understand drivers of satisfaction, and track how trends evolve over time.”
Modern AI-driven analysis evaluates thousands of interactions simultaneously, uncovering:
- Root causes of customer frustration
- Key drivers of satisfaction
- Emerging patterns and trends over time
This enables contact centres to move beyond anecdotal evidence and toward a deeper, data-driven understanding of customer experience.
Making Insights Accessible and Actionable
Insight is only valuable if it can be understood and used, which is why modern feedback systems focus on clear, targeted reporting that delivers the right information to the right people.
Emerging tools go even further, allowing teams to interact with their data dynamically, asking questions and receiving actionable recommendations in seconds, as Jonathan continues:
“Just as important is making these insights accessible through clear targeted reporting. By shifting from reactive analysis to continuous data-driven insight, organizations can make faster, more informed decisions that directly improve the customer experience.
The greatest value of customer feedback comes from how leadership acts on it. Too often, insights remain isolated in reports rather than influencing day-to-day operations.”
This accessibility helps contact centres shift from reactive analysis to continuous improvement, enabling faster and more confident decision-making.
Embedding Feedback Into Everyday Operations
The biggest missed opportunity in customer feedback is failing to act on it, as too often, insights remain trapped in reports instead of influencing day-to-day operations.
High-performing contact centres take a different approach by embedding feedback directly into workflows, including:
- Using insights to guide agent coaching
- Refining processes based on real customer pain points
- Reinforcing behaviours that drive positive outcomes
“To improve how feedback is applied, contact centres must embed feedback directly into daily workflows. This includes using insights to guide agent coaching, refine processes, and reinforce behaviours that drive positive outcomes.”
By operationalizing feedback, contact centres ensure it becomes a living part of how they work, not just something they review periodically.
Closing the Gap Between Insight and Action
AI is helping bridge the gap between understanding customer needs and responding to them effectively.
With faster analysis, clearer insights, and integrated workflows, contact centres can act with greater speed and precision.
“Emerging tools also enable teams to interact with their data more dynamically, ask questions, and receive actionable recommendations in seconds.
This helps bridge the gap between insight and execution, allowing faster and more precise responses to customer needs.”
The result is a feedback loop that continuously improves performance, strengthens customer relationships, and delivers better experiences at scale.
“Ultimately, the most effective organizations operationalize feedback, ensuring it consistently informs decisions, improves performance, and enhances the overall customer experience.”
Author: Robyn Coppell
Reviewed by: Jo Robinson
Published On: 15th May 2026
Read more about - Video, Artificial Intelligence (AI), Conversational AI, Customer Effort, Customer Engagement, Customer Experience (CX), Customer Feedback, Customer Service, Jonathan Kenu Escobedo, MiaRec, Service Strategy, Technology Enablement Strategy, Technology Roadmap, Videos
