Seeing What the Customer Sees: Transforming Support with QoE AI Insights
- Gareth Price-Jones
- Feb 18
- 3 min read

When a customer reaches out to support, they’re rarely calling about a simple question. They’re calling because something feels wrong: video streams keep buffering, conference calls are choppy, coverage seems inconsistent, or—perhaps most frustrating of all—their phone shows four bars but nothing loads.
Traditional customer care tools weren’t built to answer the most important question:
What is the customer actually experiencing right now?
QoE AI Insights changes that dynamic completely.
From Guesswork to Ground Truth
Instead of relying on static KPIs, generic coverage maps, or assumptions about network conditions, Customer Care teams can now activate the QoE AI Agent directly on a customer’s device. This lightweight, privacy‑respecting agent provides a real‑time, customer‑eye view of performance—exactly where and when issues occur.
Support teams can instantly see:
• Connectivity quality by time of day and location
• Latency and jitter patterns that impact gaming and video calls
• Throughput trends that explain slow downloads or buffering
• Background QoE tests that reveal intermittent or location‑specific issues
It’s the difference between “Your area looks fine” and “I can see your latency spikes every evening around 8pm—let’s fix that.”
Targeted, Intelligent Testing When It Matters Most
QoE AI Insights goes beyond passive observation. Customer Care can trigger targeted, scenario‑specific tests that mirror real customer behaviour:
Background testing to identify problems
A cycle of unobtrusive low impact test that enable visibility of performance across location, time of day, signal strength, connectivity, latency, and throughput.
NDT7 Speed Tests with Deep TCP Analysis
Not just a headline speed number—full TCP performance diagnostics that reveal congestion, packet loss, and bottlenecks.
DASH Video Streaming Tests
Simulated streaming sessions that show adaptive bitrate behaviour, stall events, and real‑world video experience.
Video Conferencing Tests
End‑to‑end assessments of call quality, stability, and jitter—ideal for diagnosing remote‑work issues.
These tests run on demand, in context, and with precision. The result is a support interaction grounded in facts, not speculation.
A New Level of Care for MVNOs and MNOs
For MVNOs, QoE AI Insights unlocks a powerful competitive advantage. Instead of relying on wholesale SLAs or static roaming agreements, MVNOs can see which partner network performs best in each location—based on real customer experience.
Similarly for MNOs international roaming quality of experience per roaming partner network can be viewed per country and region.
With this intelligence, MVNOs and MNOs can:
• Detect the best‑performing partner network per country and region
• Automatically push preferred roaming lists to devices based on location
• Deliver an always‑best‑connected experience without customer intervention
This is network selection driven by live QoE, not outdated assumptions.
Empowering Customer Care to Resolve Issues Faster
With QoE AI Insights, support teams can finally speak the customer’s language:
• “I can see your throughput drops when you move between these two cells.”
• “Your video calls are failing due to uplink jitter—let’s run a targeted test.”
• “Your device is on a suboptimal roaming partner; I’ll push an update now.”
The conversation shifts from scripted troubleshooting to expert diagnosis backed by real data.
Customers feel heard. Issues get resolved faster. Churn drops. Satisfaction rises.
The Future of Customer Experience Is Proactive, Personal, and Precise
QoE AI Insights brings transparency, intelligence, and real‑world context to customer support. It empowers operators and MVNOs to deliver the experience customers expect—not just the one the network thinks it’s providing.
When support teams can finally see what the customer sees, everything changes.





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