What Is Call Quality, & How Do You Monitor It? The Complete Guide
In the age of the customer, brand loyalty is built or broken in every interaction. Your customers expect seamless, personalized experiences at every touchpoint, and you can‘t afford to let them down. While digital channels are undeniably critical, the power of voice conversations can‘t be overlooked.
Consider these findings:
- Calls to businesses have increased 110% since 2014. (DialogTech)
- 76% of consumers prefer the human touch to digital channels when seeking advice or looking to resolve service issues. (PwC)
- 80% of customers say the experience a company provides is as important as its products or services. (Salesforce)
The stakes are high, and there‘s no room for error. That‘s where call quality monitoring enters the picture as your key to delivering pitch-perfect phone interactions, every time.
What Is Call Quality?
Call quality refers to the caliber of phone interactions between your customers and your company representatives, such as contact center agents or sales and support staff. High-quality calls are efficient, effective, and emotionally intelligent, leaving the customer feeling heard, helped, and valued.
The specific criteria that define a "high-quality" call may vary by industry, business model, and interaction type, but often include elements like:
| Criteria | Description |
|---|---|
| Efficiency | Resolving the customer‘s need promptly |
| Communication | Speaking clearly, listening actively, setting expectations |
| Soft skills | Demonstrating empathy, patience, and professionalism |
| Knowledge | Providing accurate information to address the need |
| Protocol | Following scripts, processes, and compliance requirements |
| Outcome | Achieving desired result like resolving an issue or making a sale |
Ultimately, a quality call is one that achieves the customer‘s goal while representing your brand in a positive light. In a world where 96% of customers say they would leave a company after receiving poor service (Forbes), call quality has never been more important.
The Business Case for Call Quality
Improving call quality isn‘t just about creating warm fuzzies – it‘s a savvy strategy with significant business benefits. Zendesk reports that 84% of customers say they‘re more loyal to companies that provide consistency across departments. Superior call quality is at the heart of that consistency.
Consider the ripple effect:
- Higher customer satisfaction (CSAT): When customers get their needs met quickly and easily over the phone, CSAT soars. Companies with the best customer experiences have CSAT scores 14.4% higher than competitors. (Gartner)
- Reduced customer churn: 89% of consumers switch to a competitor after a poor customer experience. (Harris Interactive) Better call quality keeps customers in your camp.
- Increased revenue: Customers who have a positive experience spend 140% more and remain customers for over 5 years longer than those who have negative experiences. (Harvard Business Review)
- Greater brand advocacy: 72% of customers will share a positive experience with 6 or more people. (Esteban Kolsky) High-quality calls forge your biggest fans.
- Improved employee experience: Empowering your agents with the skills and tools to deliver excellent service interactions boosts engagement and reduces turnover. Highly engaged teams show 21% greater profitability. (Gallup)
In this light, excellent call quality is nothing less than a competitive differentiator for your brand and your bottom line. And the key to achieving that excellence is a robust quality monitoring program.
What Is Call Quality Monitoring?
Call quality monitoring is the process of observing and analyzing phone interactions between customers and company representatives to ensure consistently high-quality service. It involves capturing and evaluating call data to pinpoint trends, uncover areas for improvement, and identify top performers and best practices to replicate.
Quality monitoring isn‘t just about playing back call recordings – it requires a strategic, systematic approach to gathering actionable insights across all facets of your customer interactions.
How Call Quality Monitoring Works
While the specifics of a quality monitoring program should be tailored to your unique business needs and customer expectations, the core process typically includes these steps:
- Capture interactions: Use call recording software to document phone conversations, and implement tools to capture customer feedback from other channels like email, chat, and surveys.
- Evaluate calls: Assign a quality assurance (QA) team to review a percentage of interactions, either live or recorded, and score them using predefined criteria.
- Identify trends: Aggregate QA scores along with other call data like handle times, resolutions rates, and sentiment analysis to pinpoint performance patterns and customer pain points.
- Deliver coaching: Provide targeted feedback and training to address skill gaps and reinforce positive behaviors, either at the individual or team level.
- Implement improvements: Make data-driven adjustments to scripts, processes, and policies to eliminate friction points and enable better call outcomes.
- Track progress: Monitor key performance indicators (KPIs) over time to measure the impact of your efforts and fine-tune your approach.
By continuously cycling through this process, you can keep a finger on the pulse of your call quality and nimbly adapt to meet evolving customer needs and business goals.
Call Quality Metrics That Matter
To evaluate call quality objectively and consistently, it‘s crucial to define clear metrics and KPIs. While specific criteria may vary based on your industry and interaction types, here are some common measures to consider:
| Metric | Formula | Why It Matters |
|---|---|---|
| First Call Resolution (FCR) | % of calls resolved on first attempt | Indicates efficiency and customer effort |
| Average Handle Time (AHT) | Total talk + hold + wrap-up time / # of calls | Measures operational costs and productivity |
| Schedule Adherence | % of time agent is available as scheduled | Reflects agent reliability and capacity management |
| CSAT Score | % of satisfied customers post-interaction | Assesses overall customer sentiment and loyalty |
| Quality Assurance Score | # of evaluated criteria met / total criteria | Provides an objective quality baseline to improve upon |
| Net Promoter Score (NPS) | % of promoters – % of detractors | Gauges customer advocacy and growth potential |
By tracking a balanced scorecard of both efficiency and effectiveness KPIs, you can quantify your call quality performance, pinpoint your biggest strengths and weaknesses, and prioritize where to focus your improvement efforts for maximum impact.
7 Proven Strategies to Improve Call Quality
Transforming your call quality won‘t happen overnight – it requires a commitment to continuous improvement. Here are seven strategies to help you get the most from your quality monitoring efforts:
1. Hire a dedicated QA team
Effective call monitoring is a job in itself – don‘t expect busy managers or agents to excel at objectively assessing their own interactions on top of their day-to-day duties. Build a dedicated quality assurance team with a mix of contact center experience, data analytics skills, and a passion for customer experience.
2. Define and refine your scorecards
Develop comprehensive scorecards to standardize how different types of calls are evaluated. Involve agents in defining the criteria to increase buy-in, and continually fine-tune your benchmarks as customer expectations and business needs evolve. Automate scoring where possible to maximize efficiency and minimize bias.
3. Go beyond evaluating agents
While arming agents with the right skills is important, they‘re only one piece of the puzzle. Use quality monitoring insights to identify broken processes, outdated policies, or training gaps that are holding your team back. Address root cause issues to empower your people to perform at their full potential.
4. Make coaching collaborative and motivating
Frame coaching sessions as two-way dialogues, not top-down critiques. Ask agents for their perspective on challenges and successes, and give them space to set their own development goals. Emphasize progress over perfection, and publicly recognize positive behaviors to reinforce them.
5. Tap into speech analytics
If manually scoring calls is leaving insights on the table, consider investing in speech analytics software. These AI-powered tools can automatically transcribe and analyze 100% of calls to detect keywords, sentiment, and acoustic cues that surface issues or opportunities in real-time.
6. Enable real-time agent assistance
Deliver in-the-moment guidance to agents when they need it most with real-time speech analytics and AI-powered prompts. Virtual assistants can detect customer frustration or churn risk on live calls and provide next-best-action suggestions to help the agent recover, or fetch knowledgebase content to help resolve issues faster.
7. Look holistically across channels
While phone interactions are critical, they‘re just one piece of the omnichannel customer experience. Evaluate quality through multiple lenses like email, chat, social media, and surveys to ensure you‘re not missing key context. An integrated quality management system can help connect the dots.
The Future of Call Quality Assurance
As customer expectations continue to climb, the bar for call quality will only rise higher. While many fundamentals of monitoring and coaching remain evergreen, technology is redefining what‘s possible when it comes to optimizing phone interactions.
Artificial intelligence is a game-changer for quality management, with use cases emerging such as:
- Predictive quality scoring: AI models can analyze past calls to predict which new interactions are most likely to be problematic, allowing QA teams to strategically prioritize coaching.
- Hyper-personalization: By analyzing customer sentiment and behavior in real-time, AI can help agents tailor their approach to deliver the most relevant information and resolution for each individual.
- Proactive intervention: Rather than waiting for CSAT to plummet, machine learning algorithms can identify leading indicators of customer frustration and trigger a supervisor to intervene before it escalates.
- Precision forecasting: By crunching quality data alongside other workforce management inputs, AI can predict ideal staffing levels and skill profiles to meet anticipated quality goals.
As these innovations take hold, the organizations that thrive will be those that find the right balance between human intelligence and artificial intelligence. Quality assurance teams of the future will focus less on basic interaction monitoring, and more on uncovering actionable insights, fine-tuning AI algorithms, and upskilling agents to handle increasingly complex interactions.
Turn Insight Into Action
Improving your call quality starts with truly listening to your customers and agents to uncover what‘s working, what‘s broken, and what‘s possible. By combining the right quality monitoring tools, processes, and mindset, you can translate those insights into actions that elevate every interaction.
The key is to approach quality assurance as a continuous feedback loop, not a one-off initiative. Stay relentlessly focused on your core quality metrics, but also remain open to unexpected insights that could redefine what "quality" means for your customers.
Armed with these strategies, you have everything you need to make every call a loyalty-building moment for your brand. So go out there and show your customers what exceptional service sounds like.
