Customization of Evaluation Methods

Listener QM complete customization of assessment methods, grading, and workflows. Discover the features for creating grids and assessment systems.

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Various Modes

Listener QM offers various customizable evaluation modes, including random modes and AI-generated suggestions for interactions to evaluate.

Quotas

Uniform agent evaluation, standardized and criterion-based quotas, sampling.

Actions and Alerts

Management and dissemination of feedback and unacceptable situations. Manual or automatic creation of corrective actions.

Scoring

Customizable evaluation grids, configurable bonus/malus scoring systems, point carry-overs, exception management.

Other features :

Interception / Centralization

Interception and archiving of recorded interactions across all channels.

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Listener QM · Evaluation of AI agents

Listener QM Listener QM · AI Agent Evaluation Your AI agents deserve the same high standards as your human agents. Listener QM rates 100% of the conversations handled by your bots—voice, chat, and email—using the same rubric you already apply to your teams, providing evidence for each criterion and a benchmark against your human agents. […]

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