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Listener QM · Customizing assessments

Assessment rubrics and grading: Your vision of quality, put into practice.

Every organization has its own vision of quality. Listener QM allows for complete customization of evaluation and grading methods as well as workflows: evaluation grids, scoring scales, selection methods, quotas, alerts, and corrective actions can all be tailored to your operations.

C · NC · NAGrading by criterion
± Bonuses & Penalties
QuotasBy evaluator
Four levers

Everything that goes into a fair evaluation is a parameter.

From selecting which interactions to evaluate all the way through to taking corrective action, each step is tailored to your organization, your activities, and your campaigns.

Assessment Methods

Several customizable modes, including random selection and AI-generated suggestions for interactions to evaluate.

Quotas

Standardized evaluation of advisors, standardized and criteria-based quotas, sampling.

Scoring

Customized grids, configurable scales, incentives and penalties, point carryovers, and exception management.

Actions and Alerts

Management and distribution of comments and unacceptable situations; manual or automatic creation of corrective actions.

Bientôt · Administration en langage naturel

Paramétrez Listener QM en le lui demandant.

L’administrateur formule sa demande en langage courant, par écrit puis à la voix. L’assistant d’administration la traduit en paramétrage, sur les mêmes réglages que les écrans d’administration, et présente chaque modification avant de l’appliquer.

Vous demandez

Vos consignes, en langage courant

« Modifie ce paramètre. » « Fais évoluer cette règle. » « Ajoute ce critère. » « Ajuste cette grille. » « Explique-moi ce qui est configuré ici et pourquoi. »
Listener QM applique

Le paramétrage, sans chercher l’écran

  • Paramètres, règles, critères et grilles d’évaluation modifiés à la demande
  • Le paramétrage en place expliqué, avec ce qui le justifie
  • Chaque modification présentée avant d’être appliquée
  • Les mêmes réglages que dans les écrans d’administration
Anatomy of a Grid

Fully customizable grids, comparable results.

Your evaluation forms are built using your sections, criteria, and weightings. Each criterion is rated as “compliant,” “non-compliant,” or “not applicable,” which makes the results comparable across evaluators.

Sections

Introduction, discussion, conclusion…

Criteria

Exactly what you're looking for

Weights

The weight of each criterion

Bonuses & Penalties

Reward or penalize

Unacceptable

Situations You Should Never Let Slip By

Answer choices Carryover of Points Progressive scoring scales Exception handling Advisor self-assessment
Selection & Quotas

Evaluate meaningful interactions, not random samples.

Sampler

Your selection criteria

Listener QM 's sampler selects interactions based on your rules.

  • By team, advisor, reason, contact type, channel, or time period
  • Targeting new entrants, a specific reason, a website, or a campaign
  • AI Suggestions Based on Signals Cross-Mining
Quotas

A distributed and monitored load

You specify the number of expected evaluations, and Listener QM distributes the interactions and tracks progress.

  • Quotas by advisor, evaluator, or contact type
  • Assessments Spread Over Time
  • Real-time progress reporting
Workflows

From note to action, without re-entry.

They use Listener QM

"Cross-CX has become our primary tool for evaluating speech quality..."

leboncoin

Frequently Asked Questions

Grading Scales and Evaluation Procedures: Your Questions.

Can you create your own evaluation rubrics?

Yes. Sections, criteria, weightings, answer options, bonus points, penalty points, carryover of points, and unacceptable scenarios are fully customizable, either by activity or by campaign.

How are the criteria scored?

Each criterion is rated as compliant, non-compliant, or not applicable. This rating system makes the results comparable across evaluators, teams, and sites.

How are the interactions to be evaluated selected?

Depending on the selected method: random selection, sampler rules (team, agent, reason, channel, time period), or AI suggestions. Quotas ensure a consistent evaluation of agents.

Can counselors evaluate themselves?

Yes, using the same rubric, before the debriefing. See also our article onAI-assisted self-assessment.

Pourra-t-on paramétrer Listener QM en langage naturel ?

Oui, c’est la prochaine évolution de l’administration. L’administrateur formule sa demande, par exemple « Ajoute ce critère » ou « Ajuste cette grille », et l’assistant d’administration l’applique sur les mêmes réglages que les écrans actuels, après la lui avoir présentée. La commande à la voix suivra.

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