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Nivision
Service & support centers

Resolution quality, not just handle time.

Speed metrics miss whether the issue was actually solved. Nivision analyzes every support call - so first-contact resolution, sentiment and churn risk are measured, not assumed.

Service & support centers

The pressure on support floors

Support teams are measured on speed - handle time, queue length, tickets closed - but speed says nothing about whether the customer's problem was actually resolved. The real signal is buried in the calls: a repeat caller, a frustrated tone, a process step skipped, a customer quietly deciding to leave. Sampling a couple of percent of calls cannot surface a pattern before it costs accounts.

AI call transcription & analysis platform

How Nivision meets it

Nivision runs QA on 100% of support calls, not a sample. It checks first-contact resolution, tracks repeat calls and escalations, scores customer sentiment and process adherence, and surfaces early churn-risk signals. Alerts fire when a call shows a customer at risk, and aggregate reports show whether the floor is genuinely resolving issues - not just closing them fast.

01

QA on 100% of calls

Every support call is scored against your quality criteria - not a 2% manual sample.

02

First-contact resolution tracking

Nivision tracks whether issues were resolved on the first call and which ones generate repeats.

03

Churn-risk signals

Frustration, cancellation hints and other early churn signals are flagged before an account is lost.

04

Process-adherence scoring

Each call is checked against the steps agents are meant to follow, so gaps are visible and coachable.

Service & support centers

The outcome

  • QA on 100% of calls, not a 2% sample
  • First-contact resolution and repeat calls tracked
  • Early warning on churn-risk and escalations
Service & support centers

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