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Last updated on: Feb 03, 2025

Automated Quality Management: How to Improve Customer Satisfaction With AQM

by Kashyap Vyas

Estimated Reading Time : 7 mins

Ever wonder how pearl divers manage to find those few precious gems in the vast ocean? Those who rely only on their intuition, diving repeatedly to locate oysters, only find empty ones most of the time. As a customer experience (CX) executive, you’re like these divers, striving to charm and retain your customers without results, if you’re still holding on to traditional quality management.

Now, imagine these divers have a special sonar device that can detect oysters with pearls even before they dive. It pinpoints not only oyster-rich regions but also identifies the oysters with the largest, most lustrous pearls.

An automated quality management (AQM) system is like this sonar device for businesses. With AQM, you can dive into the ocean of information more efficiently, ensuring accurate analysis of every customer interaction and finding the “oysters” with the most valuable pearls (insights). AQM is like a 3D map of every crevice of the information sea, which guides you toward streamlining processes, enhancing CX, and identifying agent coaching opportunities.

With the US CX Index declining for a third consecutive year and dipping to an all-time low per a Forrester 2024 report, businesses must implement AQM to regain their customers’ trust and stay competitive.

The same report also mentions that only 3% of companies are deemed as “customer-obsessed” and gain benefits from a customer-first approach, such as:

  • 41% faster revenue growth
  • 49% faster profit growth, and
  • 51% better customer retention

What is Automated Quality Management? How does AQM differ from traditional quality management?

Using a traditional quality control system is like using a cup to filter the ocean. As a quality manager, you need to spend long hours listening to conversations, reading text-based interactions, scoring them, and taking corrective actions. It’s not only tiresome, time-intensive, and expensive but may also attract legal proceedings and substantial penalties in case of overlooked compliance issues.

Manually scrubbing the huge amount of data allows you to analyze only about 2% of customer communications. It leads to a limited, potentially biased understanding of the customer experience and unfair agent evaluations. Plus, it’s impractical to scale an already overburdened system without investing heavily in resources, limiting the growth of your business.

Conversely, AQM, also called automated quality control or assurance, is a set of tools you can use to resolve these issues by automating quality assurance processes to provide excellent customer experience. Unlike manual QA, it leverages artificial intelligence (AI) technology, with Machine Learning (ML) and Natural Language Processing (NLP) as its primary components, to enhance the QA processes, including:

  • Analyzing 100% of interactions (voice plus text)
  • Topical and sentiment analysis with useful insights
  • Scoring agent performances and identifying training needs
  • Improving CX across channels to retain and expand customer base
  • Ensuring script and regulatory compliance

How AI empowers Automated Quality Management

Artificial Intelligence (AI) has permeated nearly every industry on the planet with its powerful analytical capabilities. QA in contact centers is no exception. With AI-powered quality control automation, you can monitor and process astronomical amounts of data in no time, resulting in faster quality analysis and decision-making.

AI enables you to perform several contact center functionalities efficiently, such as:

  • Transcribing and assessing calls: Auto-transcribe every conversation between agents and customers. Assess them with NLP in real time for sentiment, phrases, and compliance, allowing your team to adhere to scripts and exceed customer expectations.
  • Analyzing data: 80-90% of customer-generated data across channels (like surveys, email, social media, mobile chats, etc.) is unstructured and is quickly growing. Interpret customer attitudes and gain an edge in customer interactions with AI’s ability to quickly analyze vast amounts of unstructured data.
  • Auto agent grading and feedback: Grade interactions automatically based on predefined standards and quality criteria, resulting in consistent and fair reviews. Based on auto-generated scores, deliver spot-on agent reviews faster to implement real-time improvements and suggest additional training.
  • Analyzing customer trends: Go beyond individual interactions by analyzing accumulated data to identify recurring communication issues, uncover agent performance trends, and highlight areas for process improvements. For instance, AI analysis might reveal a higher interest in a particular product feature. You can use this insight to improve the product manual or provide targeted training to agents
  • Enabling predictive analytics: Proactively optimize resources and improve both CX and EX with AI-driven predictions, such as potential customer churn, future contact volumes, and agent burnouts (e.g., during holiday seasons). For example, AI-based AQM might detect a rise in negative customer feedback during system outages, enabling you to prepare appropriate responses to such feedback in the future.

How Automated Quality Management improves customer satisfaction

Businesses need to invest in an effective CX quality management system since 1 in 2 customers take their business elsewhere after only one disappointing experience.

That’s where automated quality management comes in handy. One of its primary benefits is that it enables you to enhance customer satisfaction by gathering, analyzing, and acting on customer feedback more effectively. AQM leverages AI to analyze all customer interactions – calls, emails, chats, and more – to identify trends, sentiment, and areas for improvement. Let’s see how AQM works at the customer level:

  • Data Collection: In addition to analyzing live interactions, AQM sends targeted surveys at the right time (e.g., after a support call or a purchase) to gather explicit customer feedback, increasing response rates and reducing survey fatigue.
  • Data Enhancement: AQM uses AI to analyze customer history and preferences to personalize survey questions, further reducing survey fatigue. Plus, it links survey responses to specific interactions to gain deeper insights into customer sentiment and trends.
  • Closing the Loop: Finally, AQM enables you to close the loop by combining survey insights with interaction analysis to identify areas for improvement in processes, products, or services, directly addressing customer pain points to enhance their experience. It also helps you track improvement in CX with key metrics like customer satisfaction (CSAT) and Net Promoter Score (NPS), allowing you to enhance your brand’s reputation.

In a nutshell, survey responses act as the “voice of the customers” while AQM is the “ears” and “brain” that listen, analyze, and interpret the voice. Together, they create a powerful feedback loop that enables you to improve your CX processes continuously.

6 Benefits of Automated Quality Assurance

Optimizing your CX processes using automated quality assurance allows you to achieve the following benefits:

1. Reduced Wait Times and Faster Resolutions

With AQM-enabled process improvements and specialized agent training, you can resolve customer issues faster and more efficiently, reducing wait times, improving CX, and boosting customer retention.

2. Personalized CX with Consistent Service

AQM helps you tailor customer interactions based on their needs and preferences. This ensures consistent service delivery across all channels and touchpoints for a more personalized CX.

Besides enabling excellent CX, a robust automated quality control system also offers other benefits as follows:

3. Increased Efficiency and Scalability

An AI-driven AQM system efficiently and quickly analyzes every single customer interaction, whether a call, text, email, or SM comment, performing quality control at its best and allowing you to scale your operations without additional staff. It also unburdens your team of tedious tasks and allows them to focus on what matters most – providing the best CX, retaining customers, and growing your business.

4. Reduced Costs

By automating routine tasks and responding to recurring customer queries without agent involvement, you can optimize resources and reduce operational costs substantially, allowing your business to realize greater ROIs.

5. Improved Agent Performance

Analyzing entire customer communication allows you to evaluate agents without bias and personalize training recommendations. Moreover, AQM helps agents improve their performance in real-time with instant suggestions regarding potential compliance issues during ongoing conversations.

6. Minimized Compliance Risks

With an analysis of 100% of the customer interactions and automated compliance monitoring in real-time, you can adhere to industry regulations and avoid deviations from the predefined script, minimizing compliance issues. This saves your business from expensive lawsuits and damage to your brand’s reputation.

AQM in Action: Real-world scenarios for successful implementation

Consider the following situations where AI-based AQM can work wonders in streamlining quality management and enhancing customer satisfaction:

Ex 1: Automating the analysis of customer feedback at an E-commerce company to improve product offerings

An e-commerce company could combine an intelligent CX survey tool with AQM features to gather and analyze customer reviews along with other interactions. The AQM can enable the company to identify recurring complaints about a specific product feature or update, revise that feature, and update the product manual. This results in a significant decrease in negative feedback, an increase in product sales, and a boost in overall customer satisfaction.

Ex. 2: Ensuring compliance with patient data privacy regulations by a healthcare provider

A healthcare provider could implement an AQM system to ensure all their communications with patients comply with data privacy regulations like HIPAA and GDPR. It can continuously monitor all agent interactions to identify accidental disclosure of patient health information (PHI). With real-time insights, you can address this issue with immediate corrective actions and targeted agent training to refine their compliance knowledge, enabling you to meet regulatory requirements and safeguard patient privacy with high reliability.

Features you should look for in AQM systems

Choosing the right AQM system with advanced features is crucial to gaining its benefits. You must look for and carefully review the following features in an AQM before making the final decision:

  • Interaction analytics (text and speech) with AI evaluations
  • Real-time call monitoring with keywords/phrases detection and non-compliance warning
  • Intelligent surveying tools
  • Automated scoring of agent interactions with feedback
  • Agent performance and CX metrics dashboard
  • Agent coaching recommendation tools
  • Customer sentiment and trends analysis
  • Seamless integration with CRM and other business systems

Deliver truly extraordinary customer experiences

As customer expectations constantly evolve, what sets your business apart is the experience you create. Providing an exceptional CX is more crucial than ever, with 80% of customers considering it as significant as the products and services. Higher customer satisfaction and positive engagement drive recurring purchases and build strong, lasting customer relationships.

Implementing an effective quality control automation system helps you identify communication bottlenecks and opportunities to improve CX with less effort, giving you an edge over your competitors. AQM is the future of customer-centered, highly efficient, and profitable businesses.

Request a demo of our SogoCX platform to experience the power of future-ready CX software that reveals true customer sentiment, enabling you to craft unforgettable experiences.


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