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Voice AIHuman QA scorecards do not fit voice bots. Empathy and grammar are the wrong questions; barge-in handling, response latency and hallucination are the right ones. Here are the 18 signals to score, grouped into four categories.
Call QACall quality assurance is the practice of reviewing customer conversations against a defined standard to improve service, compliance and coaching. This guide covers what to measure, how sampling works, and why 2% coverage is the core problem.
Buyer's GuideMost call QA platforms demo well and differ in ways that only surface after rollout. Twelve questions that expose the differences: scorecard control, language handling, ingestion, override, retention and real per-minute cost.
MultilingualMost call QA tools were built for English and bolt other languages on through translation, which discards the tone and politeness you were trying to measure. What breaks, why code-switching is the hard part, and what to test before buying.
Call QAA practical method for building a QA scorecard: choosing parameters, weighting them so they total 100, writing criteria two reviewers will score identically, and separating fatal breaches from ordinary scoring.
Call QAFive calls per agent per month is the industry default and it is statistically close to meaningless. What sample sizes actually support, why the sample is rarely random, and how to sample deliberately.
Call QAA fatal incident is a zero-tolerance breach that overrides the call score. What counts, why averaging hides them, and why distinguishing an agent hangup from a customer hangup matters more than it sounds.
ComplianceRetention is usually set once and forgotten. What drives the decision, why indefinite retention is a liability rather than a safety net, and the difference between deleted and merely hidden.
Call QAWhat happens between a recording arriving and a score appearing: what the model evaluates, why analysing audio beats scoring a transcript, and where the approach still gets things wrong.
Call QAA direct comparison of manual and automated call QA on coverage, consistency, cost and speed — including the three things manual review still does better.
Call QAIf two reviewers score the same call differently, your scores are not comparable. How to run a calibration session, how to read the spread, and what to fix.
CoachingMost QA feedback fails because it is anecdotal, late and arguable. How to use coverage data to make coaching specific, timely and hard to dispute.
IntegrationsAsterisk records everything and analyses nothing. How to get those recordings into a QA platform without a vendor connector, and what to watch for in file naming and metadata.
ComplianceFor some organisations call recordings cannot go to a public cloud. What the real constraint usually is, the three deployment shapes available, and the questions to ask before shortlisting.
AnalyticsEvery contact-centre metric has a failure mode and most can be gamed. What each one really measures, how it gets distorted, and which combinations are worth watching together.
HealthcareHealthcare call handling carries clinical risk that ordinary QA scorecards do not measure. What to add for urgency recognition, instruction accuracy and privacy.
BankingIn regulated financial services a call is a record. What to add for mandatory disclosures, mis-selling risk, identity verification and dispute evidence.
TelecomTelecom and ISP support runs at volumes where sampling is hopeless and churn is decided on the call. What to measure for technical accuracy, repeat contacts and retention saves.
IntegrationsYeastar records calls reliably and stores them on the appliance, where disk pressure eventually rotates them away. How to get recordings into a QA platform before that happens, and the extension-mapping problem to solve first.
AnalyticsDisposition codes drive staffing and product decisions, and they are entered in the two seconds before the next call connects. Why they drift, how to measure the drift, and what to do about it.