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Video calls are a huge part of modern life. Professionally, we use video calls for team meetings, sales demos, customer support calls, even job interviews. On a personal level, we use them to stay in touch with loved ones, play games, give tours, and even attend virtual medical appointments. Whatever the use, they all rely on one thing—the call just working.
And yet, we’ve all been there. Voices cutting out mid-sentence. Video freezing at the worst possible moment. Awkward delays that turn a simple conversation into a waiting game. When video call quality drops, productivity suffers, trust takes a hit, and users quietly lose confidence in the product.
What makes things tricky when it comes to video call quality is that issues rarely have a single cause. Network conditions change. Devices behave differently. Audio and video compete for resources in real time. A call that looks perfect in lab conditions can fall apart the moment a user joins from a noisy café or switches from Wi-Fi to mobile data.
That’s why testing video call quality isn’t just about checking if audio and video work. It’s about understanding how they behave under real-world conditions—when bandwidth drops, latency spikes, devices struggle, and environments aren’t ideal.
In this article, we’ll break down the most common video call quality issues users encounter and explain how to test for them effectively, so problems are caught early before they affect users when video call quality matters most.
TL;DR
30-second summary
What are the most common video call quality issues, and how do you test for them effectively before they reach users?
- Audio problems are the most damaging to call quality because users cannot ignore them. Choppy or robotic audio caused by packet loss and jitter, echo caused by failed cancellation when speaker audio is picked up by the microphone, and audio delay that breaks conversation rhythm are all immediately noticeable. Audio testing must go beyond ideal network conditions to reflect how audio behaves when bandwidth drops, latency spikes, and codec recovery is stressed across long calls.
- Video quality issues are often symptoms of network or device problems rather than video processing failures. Blurry or pixelated video, frozen or stuttering frames, and poor handling of low-light or motion conditions each trace back to bandwidth drops, CPU load, device limitations, or inadequate hardware acceleration. Objective metrics including PSNR, SSIM, VMAF, and VQTDL quantify degradation under stress in ways that subjective review alone cannot capture.
- Network conditions are the most variable and most consequential factor in real-world call quality. High latency disrupts conversation flow even when audio and video are technically delivered. Packet loss and jitter cause choppy audio and frozen video that users experience as an unstable connection. Testing must simulate controlled latency, packet loss, jitter, and bandwidth fluctuations across different network types — not just stable Wi-Fi in a lab environment.
- Device and platform compatibility issues are the most commonly undertested failure mode. Older devices, lower-end hardware, different OS and browser versions, and varying app versions all produce different call quality outcomes. Problems show up as frozen video, dropped frames, overheating, battery drain, or features that work on some platform combinations but not others. Testing across a broad real-device matrix is not optional for products targeting a diverse user base.
- Effective video call quality testing combines objective metrics with real-world scenario testing. MOS for audio, VMAF and SSIM for video, and network metrics for latency and packet loss provide quantifiable baselines. Long-duration calls, low-light and motion scenarios, cross-device regression after updates, and CPU and battery monitoring under real call load reveal the failure modes that controlled lab testing consistently misses.
Bottom line: Video call quality issues rarely come from a single source — audio, video, network conditions, devices, and platforms all interact in real time. Effective testing goes beyond basic functional checks and focuses on real-world scenarios, meaningful metrics, and behaviour over time. The problems caught in testing are the ones users never notice.
Audio issues that affect video call quality
Users may tolerate a frozen video (for a while) but bad audio is not something that can be easily overlooked. If voices are hard to understand, conversations fall apart almost instantly. Participants start repeating themselves, interrupting each other, or dropping off the call altogether.
Bad audio quality is caused by a mix of factors: unstable networks, device limitations, room acoustics, background noise, or the way audio processing is handled in real time. Even small issues can have a big impact on how natural a conversation feels.
Let’s look at the most common audio-related problems users experience in video calls, along with practical ways to test for them before they reach production.
Choppy or robotic audio
Choppy, distorted, or “robotic” audio is one of the most common complaints in video calls—and one of the most frustrating for users. Words get clipped, voices sound metallic, and entire syllables disappear. Even when the call doesn’t drop, the conversation becomes exhausting to follow.
For a user, this usually feels like the connection is bad. In reality, it’s often a combination of network instability and how audio is encoded, transmitted, and recovered in real time. A common cause of choppy audio is packet loss, high jitter, audio compression, and sudden bandwidth drops.
Audio echo
Echo is an issue that users notice instantly and once it starts, it’s almost impossible to ignore. Hearing your own voice repeated a split second later breaks concentration, slows down conversations, and quickly turns a call into a frustrating experience.
In video calls, echo usually happens when audio from the speaker is picked up by the microphone and sent back into the call. If echo cancellation isn’t working properly, that loop becomes audible, especially in calls with multiple participants or when people are using speakers instead of headphones.
Audio delay
Even when audio is clear, timing issues can make a video call feel awkward and unnatural. When sound arrives too late—or doesn’t match the speaker’s lip movements—conversations lose their rhythm. People start talking over each other, pauses feel longer than they are, and the call becomes difficult to follow.
Audio delay is especially noticeable in video calls because users subconsciously rely on visual cues to understand speech. When audio and video fall out of sync, even by a few hundred milliseconds, it becomes harder to follow the conversation.
How to test for audio quality
Audio testing needs to go beyond ideal network conditions and focus on how audio behaves when things aren’t perfect. To test for choppy audio, echo, and audio delay, audio quality testing must reflect real-world conditions. This involves network testing (packet loss, jitter, latency, bandwidth changes), end-to-end call analysis, and testing across real devices and environments.
Objective metrics like MOS, jitter, latency, and audio-video sync help quantify what users hear, while longer calls and varied speaker–microphone setups reveal how codecs, echo cancellation, and buffering adapt over time. The goal isn’t just to confirm that audio works, but that it stays clear, natural, and in sync throughout the call.
Video issues that affect video call quality
Users may forgive a moment of blur, but freezes, heavy pixelation, or a lagging image are immediately distracting, especially in meetings where visual cues matter.
Video quality depends on network conditions, device performance, and how the app adapts in real time. Even small drops in resolution or frame rate can be distracting. Testing video quality shouldn’t just focus on peak quality, but on how the video degrades and recovers under real-world conditions.
Let’s take a look at the most common video call quality issues.
Blurry or pixelated video
Blurry or pixelated video is an instant sign of a low-quality call. Faces lose detail, gestures become hard to read, and shared screens can be frustratingly unclear. Even brief moments of blur can make a conversation feel unprofessional or confusing. The most common causes of a blurry video can be linked to low bandwidth, network congestion, and inadequate lighting.
Frozen and stuttering video
When a video freezes or stutters during a call, participants may miss key moments, gestures, or shared content, making conversations hard to follow. Common causes include network instability or sudden drops in bandwidth, high CPU or GPU load, and device limitations.
Poor low-light or motion handling
Video that looks fine in a bright, static environment can quickly degrade in real-world conditions. Low-light environments can make faces and gestures hard to see, while fast motion, like hand gestures, moving presentations, or walking participants, can result in blurring or dropped frames. Both issues make conversations harder to follow.
How to test for video quality
To test video call quality for issues like blurry video, freezing, stuttering, or poor motion handling, start by simulating real-world network conditions, including bandwidth fluctuations, latency, and jitter. Run calls across a variety of devices, cameras, and screen sizes to catch hardware-specific problems.
Use objective video quality metrics like PSNR, SSIM, VMAF, or VQTDL to quantify clarity and detect degradation under stress. Include long-duration and scenario-based testing, like low-light environments or fast motion, to observe how the video adapts over time. Combining these approaches ensures video remains sharp, smooth, and responsive, even when network conditions or device performance vary.
Network-related issues that affect video call quality
No matter how good your audio and video processing is, network issues can quickly ruin a video call. High latency, packet loss, and unstable connections impact both sound and images, causing choppy audio, frozen video, or out-of-sync streams.
Network problems can vary by location, connection type, or even time of day. A call that works perfectly on a strong Wi-Fi connection may fall apart on a congested mobile network or during a cross-region call. Testing network-related issues is essential to ensure your video calls remain reliable under real-world conditions.
High latency and lag
High latency—the delay between speaking and hearing a response—can make video calls feel unnatural. Even small delays disrupt conversation flow, causing participants to talk over each other or pause awkwardly. High latency is often caused by slow or congested Wi-Fi, 4G/5G, or VPN connections.
Packet loss and jitter
Packet loss and jitter can make audio and video sound choppy, robotic, or out of sync. Even small amounts of lost or delayed data can disrupt the smooth flow of a call, causing frozen video, skipped words, or repeated audio. These issues often feel like an unstable connection to users and are a major source of frustration during video calls.
How to test network conditions
To test for network-related issues in video calls, quality testing should simulate the conditions users experience in the real world. This includes introducing controlled latency, packet loss, jitter, and bandwidth fluctuations to see how audio and video behave under stress. Testing should be performed across different network types.
Monitoring key metrics helps quantify the impact of network instability and evaluate how quickly the system adapts and recovers. Together, these tests ensure video calls are stable and meet user expectations even when network conditions are far from ideal.
Network stress is where audio quality goes wrong. We test both together.
Device and platform compatibility problems
Video calls don’t run in a single, controlled environment. Users join from different devices, operating systems, browsers, and app versions—each with its own hardware capabilities and limitations. A call that works perfectly on one device can behave very differently on another.
Compatibility issues often show up as inconsistent audio or video quality, unexpected freezes, higher battery or CPU usage, or features that work only on certain platforms. These problems are easy to miss if testing is limited to a small set of devices or configurations.
Let’s explore some of the most common device and platform-related issues and how to test for them effectively.
Device-specific performance issues
Not all devices handle video calls equally. Older phones, low-end laptops, or devices under heavy load can struggle with real-time audio and video processing. This often shows up as frozen video, dropped frames, delayed audio, overheating, or rapid battery drain, even when the network connection is stable.
From a user’s point of view, these issues feel random and hard to explain. The call works fine for others, but not for them. In reality, the problem is usually limited processing power, thermal throttling, or hardware acceleration behaving differently across devices.
OS, browser, and app version differences
Video call quality can change significantly depending on the operating system, browser, or app version being used. Updates can introduce performance improvements, but they can also cause regressions, breaking features that previously worked or changing how audio and video are handled.
These differences often show up as inconsistent quality, missing features, or unexpected bugs that only affect specific combinations of OS, browser, and app versions. If testing focuses only on the latest versions, these issues can easily slip into production unnoticed.
How to test for compatibility issues
To test for device and platform compatibility issues, video call quality testing should cover a wide range of real devices, operating systems, browsers, and app versions. This includes testing on both high-end and lower-end hardware to uncover performance limitations, as well as running regression tests after updates to catch unexpected changes. At TestDevLab, we have over 5,000 real devices—both legacy and new—that ensure your product works on any device your users use.
Monitoring CPU, memory, and battery usage during calls helps identify device-specific bottlenecks, while scenario-based testing ensures key features behave consistently across platforms. Together, this approach helps deliver a reliable video call experience regardless of the device or platform users choose.
Final say
Video call quality issues rarely come from a single source. Audio, video, network conditions, devices, and platforms all interact in real time, and problems often appear only when conditions aren’t ideal. That’s why effective video call quality testing goes beyond basic functional checks and focuses on real-world scenarios, meaningful metrics, and behavior over time.
By testing how video calls perform under network stress, across devices and platforms, and in everyday usage conditions, teams can catch issues early and deliver video calls that feel clear, stable, and natural—exactly what users expect.
FAQ
Most common questions
What are the most common video call quality issues?
Video call quality problems fall into four categories. Audio issues, like choppy or robotic audio from packet loss and jitter, echo from failed cancellation, and audio delay that breaks conversation timing, are the most immediately disruptive because users cannot ignore unclear speech. Video issues such as blurry or pixelated frames, freezing and stuttering, and poor low-light or motion handling, make calls feel unprofessional and hard to follow. Network issues, like high latency, packet loss, and jitter, affect both audio and video simultaneously and are the most common root cause. Device and platform issues, including hardware limitations, OS and browser version differences, produce inconsistent quality that appears random to users but traces back to specific configuration combinations.
How do you test audio quality in video calls?
Audio quality testing must reflect real-world conditions rather than ideal lab environments. Network simulation introducing controlled packet loss, jitter, latency, and bandwidth fluctuations reveals how audio codecs, echo cancellation, and buffering behave under stress. End-to-end call analysis across varied speaker and microphone setups shows how echo cancellation adapts in multi-participant scenarios. Objective metrics including MOS score, jitter measurements, latency, and audio-video sync offset provide quantifiable baselines. Long-duration calls reveal how audio processing degrades over time, issues that short functional checks consistently miss.
What metrics should be used to evaluate video call quality?
Seven metrics form the core of video call quality measurement. For audio: Mean Opinion Score (MOS) for perceived audio quality, jitter measurements, latency, and audio-video sync offset. For video: PSNR (Peak Signal-to-Noise Ratio), SSIM (Structural Similarity Index), and VMAF for perceptual video quality. Network metrics including packet loss rate, bandwidth utilisation, and round-trip time provide the context for understanding why quality degrades when it does. Device metrics including CPU usage, memory consumption, and battery drain during calls identify hardware bottlenecks that produce the performance degradation users experience as random freezes or drops.
Why do video calls work in testing but fail in production?
Three gaps between test environments and production conditions account for most of this. Test network conditions are too stable — controlled lab Wi-Fi does not replicate the packet loss, jitter, and bandwidth fluctuation users experience on mobile networks, VPNs, or congested public connections. Test data is too clean — calls tested with freshly provisioned accounts and ideal lighting do not replicate the low-light environments, background noise, and motion conditions real users encounter. Test device coverage is too narrow — testing on a small set of current devices misses the hardware limitations, thermal throttling, and OS version differences that affect the actual device mix of a real user base.
How should teams test video call compatibility across devices and platforms?
Compatibility testing for video calls requires a broad real-device matrix covering high-end and lower-end hardware, multiple OS versions, browser versions, and app versions simultaneously. Regression testing after updates catches regressions that break features working in previous versions. Monitoring CPU, memory, and battery usage during calls identifies device-specific bottlenecks rather than assuming stable performance across hardware. Scenario-based testing, focused on low-light environments, fast motion, and network switching mid-call, ensures key features behave consistently across configurations rather than only under ideal conditions.
Your video call works in the lab. Does it hold up when users actually use it?
Talk to our audio and video quality testing experts and see how your product performs under real-world conditions.
