Conversation Analytics for Contact Centers

EmberQA uses artificial intelligence to score every customer interaction against customizable quality assurance scorecards, rubrics, metrics, and weights. Instead of relying on random manual samples, the platform evaluates all conversations consistently. Each scored interaction provides metric-level explanations, recordings, and searchable transcripts, allowing authorized reviewers to examine findings and make score corrections when needed.

EmberQA AI red-flag detection identifies high-risk interactions requiring immediate supervisor review. The system monitors conversations for hostile agent behavior, improper advice, privacy violations, and escalation risks. When red-flag conditions are detected, automated alerts notify supervisors and can trigger workflow updates to external tools, including CRM platforms, ticketing systems, and internal operational dashboards.

EmberQA provides free manager and reviewer access. Organizations only pay agent seat fees for team members whose customer interactions are actively evaluated and scored by the platform. If a manager or reviewer also has their own customer calls or messages scored, a paid agent seat is required for that specific user.

EmberQA connects quality assurance scores directly to agent development through personalized coaching recommendations based on recurring performance patterns. The Pro plan includes structured improvement plans with daily progress tracking, agent training programs with lessons and quizzes, call-review exercises, and AI mock caller roleplay that lets agents practice difficult scenarios before handling live calls.

EmberQA provides agent performance analytics, manager QA dashboards, score trends across teams and locations, and standard CSV exports. On the Pro plan, teams gain access to PDF trend reports, daily AI QA reports, and the On-Demand QA Analyst, which allows users to ask natural-language questions and generate custom charts and tables.

EmberQA integrates with external workflows through supported ingestion methods, result webhooks, and an API. QA scoring results, call outcomes, and red-flag alerts can automatically trigger actions and push updates to CRMs, ticketing systems, internal dashboards, and supervisors. Delivery history is also available to monitor webhook performance across automated workflows.