Voice of Customer Analytics: Turning Support into Strategy
Contact centres use voice of customer (VoC) analytics by systematically collecting and analysing signals from every support interaction, like calls,
See what customer interactions matter, as soon as you log in. Customer service leaders are under pressure to spot problems early and fix them fast. But most contact centres lack real-time insights, leaving teams reacting too late — waiting on an agent to flag an issue or relying on dashboards that show what happened yesterday,…

See what customer interactions matter, as soon as you log in.
Customer service leaders are under pressure to spot problems early and fix them fast. But most contact centres lack real-time insights, leaving teams reacting too late — waiting on an agent to flag an issue or relying on dashboards that show what happened yesterday, not what’s happening now.
So many contact centres are loaded with information, but low on insight into the contact drivers that are affecting CSAT, costing money or hurting revenue. The process of aggregating customer feedback is far from efficient, slow, manual and expensive.
That’s exactly what EdgeTier is designed to fix. With our latest update, EdgeTier has become even more proactive, surfacing insights faster than any in-house approach or platform, so you can step in before customer issues have a chance to grow.
When you log in to EdgeTier, you now land on one screen that shows you the most important changes in your customer conversations.
We’ve designed this so it’s everything you need to know to decide what to look at first — no keyword searching in a CRM, no more missing important issues because of manual anomaly detection.
The Home screen now brings together four key insights you’ll see straight away:
The first thing you see on the new Home screen is interaction volume across chat, email, calls, and social media. This isn’t just a vanity metric—it tells you where pressure is building in your contact centre operations.
You can instantly spot spikes and dips, compare them to yesterday or last week, and dive right into the conversations behind the numbers.
This dashboard view shows the top reasons customers are contacting you and what’s changed almost in real time.
In many systems, contact reason insights can take a full day to refresh.
With EdgeTier, you don’t wait until tomorrow’s report. Contact reasons are updated in near real-time, as conversations occur. You can immediately see what’s changed, how big the issue is, and where it’s coming from — whether that’s a particular brand, location, team, or language.
This gives you an immediate, clear view of what’s driving your customers today, without the time lag or manual effort.
This report helps you focus on the most urgent contact reasons first.
You’ll see the most pressing anomalies across your customer interactions the moment you log in. Anomaly detection for customer service leaders has always been a core part of EdgeTier, but now the Home screen puts them front and centre.
Whether it’s a sudden rise in delivery complaints, checkout failures, or system outages, the home screen dashboard points you straight to the issues that need attention now — before they affect large numbers of customers. From there, you can dig into each anomaly and uncover the root cause as usual.
The last proactive insight that we’ve added to the new Home screen shows you which customers are contacting you the most today or this week. Alongside interaction counts, you’ll see key context such as contact reasons, handling time, and experience scores — so it’s easy to spot pain points or outliers at a glance.
This view helps you understand which customers are generating the greatest support load and why.
Clicking on any customer takes you straight to their full interaction history in the Customer Overview, giving you the detail you need to resolve the issue once and for all.
The new Home screen isn’t just a UI change — it’s about changing how customer support works.
With this release, every support leader can see what matters most in their contact centre the moment they log in — from real-time interaction volumes to proactive anomaly detection, helping them focus first on what matters and improve CSAT.
Contact us now for a short demo.
Contact centres use voice of customer (VoC) analytics by systematically collecting and analysing signals from every support interaction, like calls,
Most contact centres are not short of data. They have dashboards tracking call volume, average handle time, service levels, CSAT
This article originally appeared on Edge Signals – Bart Lehane’s LinkedIn newsletter on customer experience, analytics, and AI. Follow for
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