Quality in Real Time: How to Choose the Right Solution

Most monitoring platforms can tell you what your average call quality, transaction latency, or session score looked like yesterday. Far fewer can tell you that one specific session is degrading right now, while there's still time to do something about it. That's the actual test for whether a solution monitors quality in real time, not whether “real time” appears on the vendor's homepage.

Averages and real-time visibility answer different questions

Aggregate reporting hides the exact thing you need to catch.

Aggregate quality reporting answers one question: how did things look, on average, across this window? Real-time quality monitoring answers a different one: is this specific session, call, or transaction degrading right now? Both have a place. Neither is a substitute for the other.

The problem is that most quality dashboards are built for the first question and marketed as if they answer the second. Rolling a thousand sessions into one hourly average can look perfectly healthy while a meaningful slice of those sessions in one region, on one carrier, were unusable for the people on them. The average recovers. The customer who was on that call doesn't get the meeting back.

What gets missed between the average and the moment

By the time the report lands, the damage is already done.

In unified communications and contact centers, a degrading call is often only visible after the fact, as a poor Mean Opinion Score (MOS) logged once the session ends, reviewed the next morning. In payments, a spike in failed authorizations shows up once the settlement batch runs, not while transactions are still failing. Enterprises already moving from monitoring to observability are making this exact shift, from asking whether something broke after the fact to understanding what's happening while it's still happening.

This is also where “real time” earns or loses its meaning. It isn't a synonym for fast, or updated often. A dashboard that refreshes every five minutes is faster than a daily report. It still isn't monitoring in real time if it can't flag an individual session while that session is still active. The distinction that matters is per-session, in-flight visibility versus aggregate, after-the-fact reporting. Everything else is a matter of degree.

Five questions to test any vendor’s “real time” claim

Ask for the mechanism, not the adjective.

Evaluating monitoring or observability platforms on this specific capability means asking questions a generic feature list won't answer:

1. Per-session or aggregate-only?
   Can the platform flag one degrading call, video session, or transaction while it's in progress — or does it only report once a window closes and the data rolls up?
2. What's the actual data latency?
   Ask for a number: seconds, minutes, or a batch cycle, not an adjective. “Real time” without a latency figure behind it is a claim, not a specification.
3. Does it correlate across vendors and domains, or only within one tool?
   A platform that only sees its own agents will miss issues that originate elsewhere in a multi-vendor environment. This is increasingly where AI observability tools that correlate metrics, logs, and traces automatically earn their place.
4. Can it act on the in-flight data, or only log it?
   Real-time visibility that can't trigger an alert or a workflow while the session is still active is still, functionally, a reporting tool.
5. Does the dashboard update as events happen, or on a fixed interval?
   Watch it live during a demo rather than taking the refresh rate on faith.

These five sit inside a broader evaluation of network monitoring tools, including deployment model, multi-vendor coverage, alert fidelity, and the rest of what belongs in any monitoring RFP.

How IR Prognosis approaches this

One real-time data model, whatever the domain.

The Prognosis platform is built to find meaning in real-time, high-volume, complex data streams from mission-critical systems. That same model underpins IR Collaborate, IR Transact, and IR Infrastructure. Whether the session in question is a voice call, a card transaction, or an infrastructure event, Prognosis is working from the same continuous telemetry, not three different after-the-fact reports stitched together.

That means a UC team can see a call degrading while the call is still connected, and a payments team can see an authorization pattern shifting while transactions are still flowing, not the next morning. It's the same real-time visibility the five questions above are testing for, applied consistently across domains rather than bolted on for one of them.

Real time is a testable claim, not a feature name

“Real time” is becoming one of the most overused words in this category, precisely because it's easy to put in a headline and hard to verify from a spec sheet. Vendors will keep using it as an adjective. The buyers who get better outcomes are the ones who start asking for it as a testable property instead: per-session, in-flight, and correlated across whatever's in their environment. Then they find out whether it's actually there before they sign, not after the first incident a “real-time” dashboard missed.

See how Prognosis monitors quality in real time, across Collaborate, Transact, and Infrastructure.