Why Call Monitoring Software Falls Short Without QA

    Why Call Monitoring Software Needs QA - Scorebuddy
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    Managers and team leads can’t be present on every call to get a pulse on customer and agent interactions. That’s where call center quality monitoring software comes in—this technology provides direct insight into how agents handle calls and if company standards are being met.

    By reviewing recorded calls, managers and team leads can track script adherence, customer sentiment, agent proficiency, how tense situations are being de-escalated, and more.

    But while traditional call monitoring is useful, it’s limited in terms of sample size, and can’t deliver meaningful customer experience insights at scale. That is, unless you add a quality assurance framework.

    QA, especially AI quality assurance, closes the gap between reviewing and improving. You can score up to 100% of conversations and uncover the kind of insights that just wouldn’t be possible with manual quality monitoring.

    But first, let’s explore what call monitoring software does, who the best vendors are, and where AI-QA comes in.

    What is call monitoring software?

    Call monitoring software lets contact centers evaluate and analyze customer-agent calls using features like live listening, call scoring, and analytics. The aim of doing so is to review service quality, ensure compliance, and identify coaching opportunities.

    Unlike simple call recording tools, call quality monitoring tools add evaluation methods to give you performance insights. 

    Typical features include:

    • Call recording: Conversations can be recorded and stored, and then later reviewed and analyzed. Some recorded calls can be used as examples for agent training purposes.
    • Live listening: This allows managers to listen in on active calls to help gauge agent performance in real time.
    • Whisper and takeover functions: Supervisors can “whisper” to agents, or talk directly to them during the call without the customer hearing; this is helpful for training and coaching purposes. In certain situations, it may be necessary for a manager to be added to the call directly, or even take it over—this feature is sometimes referred to as call barging.
    • Reporting and analytics capabilities: On top of storing and recording calls, the software you choose should supply a few other basic capabilities. In terms of analytics and reports, call monitoring tools can show trends like average wait time, call time, first-call resolution rates, and number of transfers.

    There are an abundance of other features that may come with call monitoring software, such as:

    • Transcription
    • Call scoring
    • Automated alerts for escalations
    • Omnichannel monitoring
    • And more

    If these aren’t included in the software, they ideally can be easily integrated with the call monitoring software.

    What’s the difference between call recording, call monitoring, and quality assurance?

    Call recording

    The aim of call recording is to capture and store audio of customer-agent calls.

    This creates an archive of service interactions, but there’s no evaluation involved at this point. Typical features include the stop/start recording, secure storage, and playback controls.

    Call monitoring

    The call monitoring process is about getting visibility into calls (live or recorded), to assess service quality and agent performance. This shows you what happened in a conversation and flags issues. Typical features are live listening, whisper/barger, and basic call analytics.

    Quality assurance

    Contact center quality assurance involves evaluating customer interactions against clear, pre-defined criteria like compliance, soft skills, accuracy, and others. This gives you actionable insights you can use to improve CX and agent performance, and ensure compliance.

    Key QA features include:

    • Custom scorecards
    • Calibrations tools
    • Coaching workflows
    • Reporting & analytics suites

    Diagram comparing call recording, call monitoring, and quality assurance in a contact center.

    The benefits of call monitoring software for agents, customers, and managers

    With call monitoring software, the idea is not to “spy” on contact center agents—your team should know that it is in place. Rather, it should be viewed as a helpful tool for supporting an agent’s growth and potential over time, and in turn, improve the customer service provided. 

    The insights derived from effective call monitoring benefit everyone involved in the customer service experience and lead to measurable business improvements.

    For customers

    • Complaints and satisfaction will be heard, recorded, and listened to by contact center managers.
    • Increases confidence that their concerns and feedback are being taken seriously.
    • When agents know they are being recorded, this typically leads to more consistent service experiences for the customer.

    For agents

    • Provides personalized coaching opportunities based on specific interactions.
    • Can help identify both strengths and areas to improve.
    • When customers know they are being recorded for quality purposes, this reduces the likelihood of them expressing extreme emotion, which is a plus for the agent.

    For managers

    • Gives visibility into the quality of customer interactions without having to be physically present.
    • Highlights coaching needs, skill gaps, process inefficiencies, and policy issues.
    • Provides the opportunity for proactive intervention before issues escalate.

    Three-column comparison showing how customers, agents, and managers benefit from call monitoring.

    Examples: Call monitoring software in action

    #1. Handling angry customers

    Through recorded calls, a manager might pick up on the fact that the new hires are struggling to de-escalate angry customers. Even if this was part of training, this consistent pattern shows it would be helpful to provide additional coaching.

    To support the agents, managers can replay parts of specific calls and demonstrate where certain phrasing could be used to improve the outcome.

    #2. Low CSAT scores

    If customers have been leaving lower CSAT scores after a company update on a cancellation policy, it’s time to review conversations to understand where the frustration is coming from.

    Managers may realize that customers are repeatedly confused by the new cancellation policy. This would mean it’s time to clarify this on the company website, update FAQs, and train agents to define the policy upfront.

    What to look for in call monitoring software: 3 key areas

    When shopping around for call center call monitoring software, most options should meet the basic checklist of recording and listening features. Managers will also want software with a clear dashboard and customizable views, with straightforward search functions to pull reports.

    The right solution for your company should not only offer these core features, but also capabilities like:

    #1. Ease of integration with existing systems

    When you already have a suite of essential tools, such as workforce management software, help desks, CRM systems, and analytic dashboards, you’ll want to ensure that call monitoring solutions can integrate seamlessly into the workflow.

    This will reduce the time spent on manual work and human error, ideally making the processes easier for agents.

    Example: CRM integration

    When a CRM platform and call monitoring system are integrated, the customer’s information and past interactions should pop up with the incoming call. The CRM can then record the call details, like the call duration, notes from the agent, and the recording itself.

    This saves the agent time looking for customer information and provides a single spot for details on current and past interactions. 

    #2. Real-time monitoring and alerts

    Even better than reviewing issues on a recorded call is preventing a problem the moment an issue arises. Real-time monitoring can send alerts to managers and let them know that it’s time to step in and support the agent, whether it be using the whisper functionality or joining the call.

    This proactive capability:

    • Reduces compliance issues
    • Minimizes customer dissatisfaction
    • Helps agents with tricky interactions

    Example: Compliance script failure

    If an agent has consistently made the mistake of forgetting to read a compliance script to the customer, an alert can be sent to the manager, who can then use the whisper function to remind the agent. 

    #3. Security and compliance support

    To meet industry regulations, security and compliance support should be built into call monitoring software. These capabilities protect sensitive customer data, such as healthcare data or billing and payment information.

    With compliance monitoring capabilities, data breaches, fines, and reputational damage are minimized.

    Example: Customer payment information 

    If a customer is calling to update their payment information, the call center software would either pause or distort the audio when the numbers are being read aloud to ensure that they are not recorded.

    Call monitoring software checklist for buyers

    You can use this simple checklist as a point of reference when evaluating potential call monitoring software for your contact center. Looks for tools that offer:

    • CRM/CCaaS integration with the likes of Salesforce, Talkdesk, Genesys, etc.
    • High transcription accuracy rates—you need accuracy for reliable scoring and analysis
    • Automation of at least some scoring for higher conversation coverage
    • Deep analytics tools allowing for sentiment analysis, trend analysis, and root cause identification
    • Redaction and compliance controls to ensure safety around PCI, PII, HIPAA, and more
    • Reporting and export options including dashboards and CSV/API access
    • A transparent pricing model (usually based on seats, usage, or interaction volumes)

    The best call center monitoring software

    Scorebuddy

    Best for enterprise quality assurance and coaching workflows

    A leader in AI-powered contact center quality assurance, Scorebuddy is the best option for post-interaction call monitoring. With customizable scorecards, AI Auto

    Scoring, and integrated coaching workflows, Scorebuddy provides a central platform for even the most complex QA functions.

    This gives visibility into agent performance and the customer experience, thanks to integration with leading CRMs, CCaaS platforms, recording systems, and workforce management software (WFM).

    Observe.AI

    Best for deep sentiment insights

    Uses AI to analyze 100% of customer interactions and automatically scores them, delivering customer insights and coaching opportunities to managers. 

    Talkdesk

    Best for those seeking a CCaaS option

    A cloud-based contact center software with call monitoring, using AI for automation, efficiency, and personalized customer service. 

    NICE CXone

    Best for advanced routing needs

    A cloud-based call center solution that supports multichannels, implementing AI for intelligent call routing and an interactive voice response system.

    Dialpad

    Best for real-time needs

    Embeds real-time transcription, sentiment analysis, and a clean interface for supervisors to monitor ongoing calls live. 

    Five9

    Best for inbound/outbound balance

    Offers live monitoring, speech analytics, and integration with CRMs to assist both support agents and sales teams.

    The limitations of call monitoring alone

    Managers manually reviewing calls should strive for 3-5 per agent every week.

    Listening to a select sample of calls like this can give managers a small window into customer and agent interactions—but often, this isn’t sufficient. 

    Monitoring alone is not the same thing as quality control. Simply listening to recorded calls doesn’t guarantee enhanced agent performance and customer service. It shows what happened, but it doesn’t automatically demonstrate, “What can we do better?”

    Call monitoring systems show the basics, like how long the call lasted, what the customer and agent said, and whether or not certain processes were maintained. What the software on its own doesn’t do—and what truly matters for quality assurance—is:

    • If the interaction met customer expectations 
    • If the call adhered to compliance standards
    • If the agent’s service reflected the company’s values

    Why you need a quality assurance framework, too

    Without a quality assurance framework in place, monitoring calls can feel like having all the ingredients out for a recipe, but not having the measurements to make the dish. The potential is there, but guidance is needed to make something of the raw ingredients.

    With thousands of calls a week, and seemingly endless hours of recordings, call monitoring can turn into a data overload. Actionable insights cannot be drawn from random samples or a small selection, and managers can get bogged down with the sheer volume of recordings.

    When a structured evaluation criteria is missing, raw data cannot have much impact on its own. 

    And spending hours just listening to calls can turn into a waste of valuable time and resources. Even if a manager can glean insights from listening to a few samples of calls, this method is inconsistent and inefficient.

    A QA framework ensures that the call monitoring system is not just another task, but a powerful tool that provides feedback to agents and actionable takeaways for supervisors and managers.

    How quality assurance improves call monitoring

    Imagine reviewing hundreds of hours of video footage of the same frame inside of a store. You’re not sure exactly what you’re looking for, but rather waiting to see

    if anything happens, whether it be good or bad. The task is repetitive and mostly mundane.

    But if you have instructions such as “Monitor to see if the customers’ mood changed from when they entered the store to when they left,” suddenly, you’re viewing the footage with context and purpose

    This is exactly how a QA framework transforms the raw data from a call center monitoring system. While call monitoring records what happened during a customer-agent interaction, QA gives meaning to the information that was captured. 

    Here’s how your QA framework can transform passive call monitoring observations into an active tool to support seamless customer experiences:

    • Score calls against customer service values: Conversations can be rated on how well customer service values, like empathy, proficiency, or reliability, were implemented. 
    • Compliance adherence: Calls should be checked to ensure that compliance scripts, like payment disclosures or HIPAA, notices were delivered.
    • Individualized coaching: Instead of flagging a call as “bad,” QA frameworks define specific behaviors or reasons why a call was unsatisfactory. This provides opportunities for targeted agent coaching and can reveal call center performance patterns over time. 
    • Customer insights: Customer complaints, confusion, and compliments should be tracked to reveal patterns on what is working and what needs to be fixed. 

    Give quality monitoring structure with Scorebuddy’s QA scorecard template

    Instant access: Free QA scorecard

    Elevating call monitoring with AI-powered QA

    Even when you have a QA framework in place, traditional call monitoring is still limited in terms of scale.

    A manager reviews the call after it’s finished, identifies issues that occurred, and corrects them later. Over time, some problem areas should get fixed—and that’s great. But what if you could avoid a frustrated customer, a struggling agent, and a manager playing catch-up altogether?

    AI-powered QA scales call monitoring capabilities by adding automation, speed, extensive analysis, and the ability to evaluate 100% of calls. It’s no surprise that 87% of contact centers are projected to integrate AI technology.

    Rather than analyzing a 2 to 3% sample of calls, as you would with traditional QA methods, AI can score up to 100% in a fraction of the time. Think of AI-powered QA as comprehensive coverage that ensures no interactions or blind spots slip through the cracks. This brings:

    Time savings

    AI-powered QA automates hundreds of hours of repetitive tasks. If agents take between 30-50 calls per day, managers can’t manually review this volume of calls from every agent. With AI doing the heavy lifting, this leaves more time for managers to focus on more impactful work.

    CX insights

    With truly reflective QA coverage, AI allows for a deeper understanding of the customer experience. You can identify customer sentiment trends, root causes of escalation, churn triggers, and more, at a scale that was impossible before.

    Agent performance patterns

    Rather than just highlighting what went wrong in the moment, AI-powered QA identifies patterns for individual agents and for the entire team. If multiple agents struggle to explain a policy, this can be recognized quickly, and targeted training sessions can be employed.

    How Scorebuddy works expands on call monitoring with AI-QA

    Scorebuddy expands on basic call monitoring. It turns every call into conversation intelligence with AI-powered quality assurance. Here’s how:
    1. Integrate call recording from your CCaaS or telephony platform
    2. Transcribe those interactions
    3. Auto-score the call against your pre-defined QA criteria using AI Auto Scoring
    4. Surface insights across a fully representative QA sample size
    5. Coach and improve agent performance with integrated systems for feedback and progress tracking

    Try a demo of Scorebuddy’s AI-powered QA

    Explore AI-QA: Self-guided demo

    Turn data into action with AI-powered quality assurance

    Call center quality monitoring software is a valuable tool that shows what happens on a customer service call, but on its own, it doesn’t deliver the maximum impact.

    Without a quality assurance tool in place, the data just remains data, and it’s difficult to pull strategic insights from it. By integrating AI-powered QA, raw call data can be transformed into CX learning.

    When 100% of calls are evaluated with AI quality assurance, you can measure CX, ensure compliance with industry standards, and uncover coaching opportunities at scale. This reduces both cost and workload, and sets the stage for stronger customer satisfaction scores.

    With Scorebuddy’s AI contact center quality assurance, you can:

    Analyze 50x more conversations
    Reduce manual QA workload 60%
    Score interactions in under 5 seconds

    Try AI-powered QA with Scorebuddy.

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    Table of Contents

      Frequently Asked Questions: Why Call Monitoring Software Falls Short Without QA

      What’s the difference between call monitoring and quality assurance?

      Call monitoring software records customer-agent calls, and allows managers to review them later to understand what happened on the call.

      Quality assurance is for evaluating agent-customer conversations against pre-defined criteria to analyze:

      -Agent performance
      -Compliance
      -Customer satisfaction
      -And more

      What’s the difference between call monitoring and call recording?

      Call recording is simply the process of recording and storing a call, while call monitoring systems offer additional features, like live listening, call whispering, and manager takeovers.

      Call recording software provides the foundation for any quality monitoring or quality assurance process by providing the raw materials.

      You can then use your monitoring or QA solutions to dig into these raw materials and begin to analyze service quality, agent performance, compliance, and more.

      Is it legal to monitor customer calls?

      Yes, but the customer should be made aware that they are being recorded or monitored with a disclaimer. We’re all familiar with the phrase, “This call is being recorded for quality and training purposes.”

      Privacy laws, however, do vary by region. For example, in the United States, some states only require one person on the call to be notified, and others require this for everyone present.

      And for storage and retention contact centers should:

      -Ensure secure storage and limit access based on role.

      -Only retain calls as long as required for call center operations/regulatory purposes.

      -Apply PCI, PII, and sensitive data redaction where applicable.

      How do I choose the right QA tool for call monitoring software?

      The right QA tool depends on your team's goals and broader company-wide goals. You might not need the most complex QA tool, but in general, look for features like:

      -Customizable scorecards to connect evaluations with KPIs and performance metrics
      -The ability to do compliance checks
      -User-friendly performance dashboards and reporting
      -The ability to integrate with existing tools
      -AI-powered analysis and automated scoring

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