Contact Center Speech Analytics

Speech analytics is technology that analyzes audio recordings and call transcripts to evaluate customer conversations. In quality assurance platforms like EmberQA, speech analytics automatically scores calls against configurable metrics, identifies recurring quality gaps, and detects urgent issues such as hostile behavior or privacy violations. These insights give managers visibility into agent performance and customer conversation trends without requiring manual review of every call.

EmberQA evaluates customer interactions using custom QA scorecards configured with specific rubrics, metrics, and weights. Instead of scoring random call samples, the platform analyzes every interaction objectively. Reviewers receive metric-level explanations showing why an interaction passed or failed specific criteria. Authorized reviewers can also review recordings, inspect searchable transcripts, and make manual score corrections whenever necessary during QA reviews.

Yes. EmberQA includes AI red-flag detection designed to identify urgent interaction issues across customer calls. The system monitors for high-risk behaviors such as hostile agent conduct, improper advice, privacy violations, and escalation risks. When customer-defined red-flag conditions are met, the platform can trigger automated supervisor alerts, push updates to internal dashboards, and notify teams through webhooks or CRM integrations.

In addition to voice call recordings and transcripts, EmberQA supports cross-channel quality assurance across SMS, emails, documents, and chat transcripts. This multi-channel ingestion capability allows contact center operations to maintain consistent evaluation rubrics, performance analytics, and compliance monitoring across all customer communication touchpoints, ensuring that quality standards remain uniform regardless of the interaction channel used.

Speech analytics pinpoints recurring missed metrics and quality gaps across agent calls. EmberQA translates these performance patterns into personalized coaching recommendations and structured improvement plans with daily progress tracking. On the Pro plan, supervisors can assign learning lessons, quizzes, call-review exercises, and AI mock-caller roleplay practice, allowing agents to practice challenging customer situations before handling live calls.

EmberQA provides manager QA dashboards, standard CSV exports, and performance analytics covering analyzed volume, average scores, and score trends across agents, teams, and locations. Pro plan subscribers gain access to metric performance trends, PDF trend reports, daily AI QA summaries highlighting standouts and priorities, and a custom report builder that allows teams to build charts and tables using natural-language queries.