A call can be marked as connected in a contact centre report and still be a poor experience. The customer may hear a delay, miss parts of an agent’s sentence or struggle with distorted audio. These problems can increase call duration, create repeat contacts and affect trust, even when the agent follows the right process.
Voice quality should therefore be measured separately from call volume and agent performance. A useful monitoring approach combines network-level indicators with customer and operational outcomes. This is particularly important for a Cloud Contact Centre Solution Provider in India supporting distributed teams, remote agents and customers on different networks.
Here are the key metrics to monitor and what they can reveal.
1. Mean Opinion Score (MOS)
MOS is an estimate of perceived voice quality, commonly represented on a scale from 1 to 5. A higher score generally indicates clearer audio. In modern monitoring, MOS is often estimated from technical factors such as packet loss, delay and codec behaviour rather than collected through a listener survey for every call.
Use MOS as a summary indicator, not a complete diagnosis. If the score drops, inspect the underlying network metrics and compare affected calls by agent location, ISP, device and destination network. Thresholds vary by measurement method and environment, so establish a baseline rather than treating one number as universal.
2. Jitter
Jitter is variation in the time taken for voice packets to arrive. Real-time conversations depend on packets arriving at a steady pace. When timing varies too much, audio may sound robotic, broken or uneven.
Track average and peak jitter, and look for patterns during busy network periods. Wi-Fi congestion, overloaded routers and competing data traffic can contribute. A wired connection for fixed agent desks and suitable Quality of Service (QoS) settings may help stabilise voice traffic.
3. Latency and round-trip time
Latency is the delay between speaking and the other person hearing the audio. High delay makes people talk over each other or pause because they think the other person has not heard them. Round-trip time measures the journey to the destination and back, and is useful when diagnosing network paths.
Monitor average, peak and percentile values. Averages alone can hide a smaller group of calls with severe delay. Compare the results across locations and network routes, and remember that codec processing, jitter buffers and network traversal all contribute to end-to-end delay.
4. Packet loss
Packet loss occurs when voice data packets do not reach their destination. In a call, this can sound like missing words, gaps or sudden cut-outs. Even a short burst of packet loss can make an important instruction difficult to understand.
Measure packet loss as a percentage and inspect whether losses occur in bursts or steadily. Check both directions of the call where possible. Network congestion, unstable links, faulty equipment and misconfigured network policies are common areas to investigate.
5. Call setup success and setup time
A customer cannot experience good audio if the call never connects. Track call setup success rate, setup failures and the time between initiating a call and establishing the connection. Segment failures by carrier route, destination, time and SIP response where available.
A sudden change may indicate a routing, signalling or carrier issue rather than an agent problem. Keep call setup metrics separate from answer rate: a call can be successfully established and still go unanswered.
6. Dropped-call rate
A dropped call ends unexpectedly after it has connected. Track the share of established calls that terminate abnormally, and distinguish technical drops from normal customer or agent hang-ups. A rising rate can point to network instability, device issues or a carrier route problem.
Review dropped calls alongside call duration. Very short calls may be genuine quick resolutions, but a sudden cluster of short calls from one location or route deserves investigation.
7. Echo, noise and audio level
Not every voice issue appears in packet statistics. Echo, background noise, microphone problems and low volume can make a conversation difficult even when the network looks healthy. Include agent feedback, sample recordings and customer complaints in the investigation.
Standardise headsets and device settings where possible. Train agents to check their environment and report recurring problems. Recording reviews should follow privacy, consent and retention policies applicable to the organisation.
8. Codec and route consistency
A codec compresses voice for transmission. Different codecs have different bandwidth and quality characteristics. Monitor codec selection and changes across routes, especially when calls pass through multiple networks or gateways. Unexpected transcoding can introduce additional processing and quality loss.
Compare quality by route and destination rather than assuming every call uses the same network path. A technically healthy office network does not guarantee that the entire call path is healthy.
Turn metrics into a voice quality process
Build alerts around persistent deterioration, not one isolated sample. Correlate technical metrics with agent location, ISP, headset model, call route and customer feedback. When a problem is detected, assign ownership: network teams may handle jitter and packet loss, while telephony teams investigate signalling and route selection.
Voice Quality Analysis Software can help teams move from anecdotal complaints to measurable diagnosis. Contaque’s speech analytics and contact centre capabilities can support interaction-level quality monitoring and analysis. Pair those insights with infrastructure monitoring so that teams can distinguish what was said during a call from how well the audio travelled.
A practical review should ask three questions: Which calls were affected? What technical condition did they share? Did the issue change customer outcomes such as repeat calls, complaints or handling time? This creates a feedback loop between IT operations and contact centre management.
Conclusion
Voice quality is a combination of network performance, equipment, configuration and the real experience of the people on the call. Monitor MOS, jitter, latency, packet loss, call setup, dropped calls, echo and codec behaviour together. A Cloud Contact Centre Solution Provider in India should help organisations see where conversations are failing and give technical teams enough evidence to fix the cause—not simply report that a call took place.