Contact Center Quality Assurance

The platform evaluates a wide range of customer communications across multiple channels. Supported interaction types include voice calls, SMS text messages, emails, documents, and chat transcripts. By ingesting data through supported connections or an API, contact centers can monitor written and spoken interactions within a unified system, ensuring consistent quality standards and compliance monitoring across all customer touchpoints without requiring separate evaluation tools.

Red-flag detection automatically surfaces high-risk customer interactions that require immediate supervisor attention. The platform identifies issues such as hostile agent behavior, privacy violations, improper advice, and escalation risks across analyzed calls and messages. When an urgent issue is detected, automated alerts notify supervisors and can trigger workflows to ticketing systems or CRMs, enabling timely intervention rather than discovering critical problems weeks later.

Agent coaching connects directly to quality assurance data by identifying recurring missed metrics across customer interactions. Supervisors can generate personalized coaching recommendations, assign structured improvement plans, and track daily progress toward target requirements. On the Pro plan, agents can access training programs featuring learning modules, quizzes, knowledge checks, call-review exercises, and AI mock-caller roleplay to practice difficult customer scenarios safely.

EmberQA offers two subscription plans priced per agent per month: Essentials at $49 per agent per month and Pro at $89 per agent per month. Both plans provide unlimited usage of their included features without usage-based overage charges. Manager and reviewer seats are free of charge, with paid seats only required for agents or team members whose own customer interactions are scored.

Yes, teams can configure custom QA scorecards, rubrics, metrics, and weights to match organization-specific evaluation criteria. The platform also supports automatic rubric selection based on configurable rules and allows specific interactions to be exempted from grading. Authorized managers and reviewers can review scores, make corrections, and view detailed explanations showing why an interaction passed or failed individual rubric metrics.

The platform connects to external systems using an API and automated result webhooks with delivery history. Quality scores, detected red flags, call outcomes, and performance signals can trigger automated actions or send quality updates directly to internal dashboards, CRMs, ticketing systems, and supervisors. This allows organizations to incorporate QA findings into existing operational tools without rebuilding established contact center workflows.