Churn shows up on the call before it shows up in the report.
In telecom, the retention moment, the repeat truck roll, and the revenue leak all happen mid-conversation. QEval scores every call for save behavior, critical-alert language, and the handle-time drivers, not the 2 percent a team can review by hand.
What a telecom call actually carries.
Every support and retention call is a churn decision, a revenue moment, and an operational signal at once. A 2 percent sample sees almost none of it.
You cannot sample a churn problem
The save call nobody reviewed is the customer who left. Cancel intent and competitor mentions are on the call in real words, and a sample misses most of them.
Critical-alert language hides in volume
Threats to cancel, outage anger, and complaint signals are the calls that matter most, and the ones least likely to land in a hand-reviewed sample.
Handle time and truck rolls have drivers on the call
Repeat calls, long silences, and avoidable transfers drive cost. Without reading every call, you fix the symptom and miss the cause.
Save behavior is uneven
The best retention reps do something specific at a specific moment. You cannot coach what you cannot see across every call.
What QEval hears on a single retention call.
One routine billing-and-cancel call. Tap a flag to see exactly where on the call it happened. This is the difference between a 2 percent sample and 100 percent coverage.
Thanks for calling, this is Sam. I see you are calling about your bill again.
Yes. My bill went up forty dollars and nobody can tell me why. I am about ready to cancel and switch providers.
Let me put you on a brief hold while I check.
Thanks for holding. The promotional rate ended, that is the increase.
Nobody told me it would end. This is the second time I have called about this.
I understand. I can transfer you to the retention team.
Actually, I can apply a loyalty credit and a new promotion right now if you would like to stay.
Recognize a cancel threat as the moment to act, attempt the save before offering a transfer, and set an expectation before every hold.
The same calls, finally read in full.
Recorded-line and consent on every call
Recorded-line notice and required disclosures are checked across 100 percent of interactions at 95%+ recall, with the transcript moment attached as evidence.
Compliance and redaction →Cancel intent and complaint risk, while you can act
Competitor mentions, cancel intent, and repeat contacts are scored on every call and surfaced before the customer leaves, not after the disconnect.
Customer intelligence →Save and upgrade behavior, scored and timed
QEval reads whether a save was attempted and an offer was well timed. A major broadband provider documented $9M in value, and one operator surfaced $762K in revenue leakage to recover.
Revenue intelligence →Why handle time and truck rolls climb
AHT, hold-time, and transfer drivers are clustered automatically. The Tier-1 operator cut AHT 9.8% and hold time 24%, and a broadband provider cut truck rolls 12%.
Auto QA →Retention coaching tied to the moment
When a save is missed, the coaching points to the second it happened. The Tier-1 operator lifted its QEval QA score 15.5 points coaching exactly this.
Coaching and performance →Your data never leaves to an outside model
PII and account data are redacted before any model runs, and the Mixture-of-Experts model is built and run in-house. Nothing trains a third-party AI.
Security and trust →A Tier-1 US telecom operator ran QEval across 4.3 million interactions from 1,378 agents, scoring 100 percent of them instead of the sample its team could review by hand. QEval cut the critical-alert rate from 32% to 15%, lifted the QEval QA score 15.5 points from 47.5% to 63%, and clustered the handle-time and hold-time drivers behind the numbers.
Average handle time fell from 14:20 to 12:56, hold time dropped 24%, and transfers fell 5 points. The documented result was $2.94M in savings in 180 days, with another $762K in revenue leakage surfaced for recovery. A separate major broadband and fiber provider documented $9M in value, a 30% capacity gain, and a 22-point lift in first-contact resolution. Outcomes attribute to the organizations, anonymized at their request.
What QEval helps you evidence.
QEval documents adherence across every interaction. It surfaces and records; it is the evidence layer your compliance team uses, not a substitute for legal counsel.
Recorded-line notice and consent language flagged when missing, across every call rather than a sample.
Unauthorized plan changes or charges raised in the conversation are detected and routed with the transcript moment attached.
The 2026 proposal on English proficiency and offshore-handling disclosure is a proposed rule. QEval scores language clarity and disclosures so you can see where you would stand. See Compliance Watch.
Rate, fee, and promotion-end disclosures scored for clarity, so billing confusion surfaces before it becomes a complaint.
Relay and TTY handling and reasonable-accommodation language monitored across interactions.
Complaint signals detected and routed in real time, with a full audit trail from score to the exact words that triggered it.
QEval surfaces, scores, and documents adherence to your policies and applicable regulations. It does not provide legal advice, and the items named here are illustrative of what QEval helps you monitor, not a complete compliance checklist.
Telecom lives in customer, revenue, and operational intelligence.
Quality and compliance is the floor. The value compounds in churn, save behavior, and the handle-time drivers, all read from the same calls.
Questions ops and retention ask.
Can QEval score save and retention behavior specifically?
Yes. Save attempts, offer timing, and cancel intent are scored on 100% of calls. One Tier-1 operator lifted its QEval QA score 15.5 points by coaching exactly these behaviors, tied to the moment they happened.
Does this help with handle time and truck rolls?
Yes. Handle-time, hold-time, and transfer drivers are clustered automatically. The Tier-1 operator cut AHT 9.8% and hold time 24%, and a major broadband provider cut truck rolls 12% and lifted first-contact resolution 22 points.
We already have QA from our CCaaS. Why add QEval?
CCaaS-native QA typically scores a small sample at 65 to 70% accuracy. QEval scores 100% of calls at the 94%+ contractual SLA and reads beyond compliance into churn, save behavior, and operational drivers, where most of the value sits.
How fast can this be live?
30-day deployment, contractual. The Tier-1 operator documented $2.94M in savings in 180 days, and the documented customer-average is ROI in 120 days, with 60-day exit rights.
Bring us a week of your save calls.
We will score a real sample of your retention, billing, and support calls and show you the churn signals, the handle-time drivers, and the revenue your current program is not catching.