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Quality Management

Quality Management (Genesys Cloud CX)

Section Description
Module Context Part of Quality, Performance, and Engagement management in Genesys Cloud.
Purpose Enables supervisors and administrators to monitor interaction quality, evaluate agent performance, and coach agents using recordings, evaluation forms, surveys, and analytics tools.
Admin Location Admin → Quality
Primary Objective Improve customer experience and agent performance through recordings, evaluations, surveys, analytics, and coaching workflows

Quality management allows supervisors to record interactions, evaluate agents, provide coaching, and monitor service quality across all channels. :contentReference[oaicite:0]{index=0}


Study Notes

Topic Explanation
Quality Management Framework used to evaluate agent interactions and improve service quality.
Interaction Recording Records voice and digital interactions for review and compliance.
Evaluation Forms Scorecards used to evaluate agent performance on recorded interactions.
Surveys Customer feedback collected after interactions.
Policies Automated rules for recording retention, evaluation creation, and survey distribution.
Speech & Text Analytics AI-driven analysis of conversation transcripts to detect topics and sentiment.
Topic Miner Tool that analyzes transcripts to identify commonly used phrases or themes.
Sentiment Analysis Automatically determines whether customer interactions are positive, negative, or neutral.
Coaching Managers can use evaluation results to coach agents and improve performance.

Genesys Cloud integrates recording, evaluation, surveys, and analytics tools to improve compliance, agent performance, and customer satisfaction. :contentReference[oaicite:1]{index=1}


Navigation

Task Navigation
Configure encryption keys Admin → Quality → Encryption Keys
Create evaluation forms Admin → Quality → Evaluation Forms
Create survey forms Admin → Quality → Survey Forms
Configure policies Admin → Quality → Policies
View evaluators Admin → Quality → Evaluators
Recording management Admin → Quality → Recording Management
Topic Miner Admin → Quality → Topic Miner
Speech & Text Analytics Admin → Conversation Intelligence → Speech & Text Analytics
Sentiment Feedback Admin → Quality → Sentiment Feedback

Configuration Fields (UI Form Fields)

Encryption Keys

Field Description Example
Key Configuration Type Defines encryption key provider Genesys Cloud Managed Keys
Key Rotation Frequency of key generation Monthly
Key Manager External encryption manager AWS KMS

Evaluation Form Fields

Field Description
Form Name Name of evaluation scorecard
Question Groups Categories for evaluation questions
Question Type Multiple Choice / Yes-No / Range
Points Score value assigned to answers
Fatal Question Automatically fails evaluation if answered incorrectly
Conditional Questions Display questions only under certain conditions

Evaluation forms allow evaluators to score customer interactions based on compliance, script adherence, or satisfaction benchmarks. :contentReference[oaicite:2]{index=2}


Survey Form Fields

Field Description
Survey Name Internal survey identifier
Language Language used for the survey
Question Type Multiple choice, NPS, Yes/No, free text
Header Content Instructions or images for survey
NPS Question Measures customer loyalty

Policy Fields

Field Description
Media Type Call, Chat, Email, Message
Matching Criteria Queue, user, wrap-up code, direction
Retention Period Recording retention duration
Evaluation Assignment Automatically assign evaluations
Survey Trigger Send survey after interaction

Dependencies

Component Purpose
Interaction Recording Required for evaluating calls
User Roles Quality Administrator / Evaluator permissions
Speech Analytics Enables transcript and sentiment analysis
Architect Survey Flow Required to send survey invitations
Data Storage Recording storage region configuration

Platform Integration / Related Components

Component Relationship
Architect Sends survey invitations via flows
Interaction Recording Captures voice and digital conversations
Speech & Text Analytics Provides automated insights into interactions
Workforce Engagement Management Integrates coaching and performance tracking
Analytics Workspace Provides performance reporting dashboards

Related Topics / Further Reading

Topic Why It Matters
Performance Management Uses evaluation scores to monitor agent KPIs
Speech & Text Analytics Automates conversation insights
Gamification Encourages performance improvement
Queue Performance Monitoring Measures operational efficiency
Workforce Engagement Management Integrates training, coaching, and quality evaluation

Implementation Checklist

Step Status
Configure recording encryption keys
Create evaluation forms
Publish evaluation forms
Create survey forms
Configure survey invite flow
Create quality policies
Configure recording management
Enable speech transcription
Configure analytics programs and topics

Implementation Guide

Step Action
Step 1 Configure encryption keys for recordings
Step 2 Create evaluation forms and question groups
Step 3 Publish evaluation forms
Step 4 Configure survey forms
Step 5 Create policies to automate evaluations and surveys
Step 6 Enable speech and text analytics
Step 7 Configure topics and sentiment analysis
Step 8 Monitor evaluations and agent performance

How to Implement

Phase Description
Setup Configure recording encryption and recording settings
Evaluation Setup Create evaluation forms and scoring criteria
Policy Configuration Automate evaluations and survey triggers
Analytics Setup Enable transcription and topic mining
Performance Monitoring Review evaluations and coaching opportunities

Workflow

Customer Interaction
        ↓
Interaction Recording
        ↓
Speech / Text Transcription
        ↓
Evaluation Assignment
        ↓
Agent Evaluation
        ↓
Coaching and Feedback
        ↓
Customer Survey (optional)

Architecture Diagrams

Quality Monitoring Architecture

Customer Interaction
        ↓
Genesys Cloud Recording
        ↓
Quality Evaluation
        ↓
Speech & Text Analytics
        ↓
Performance Insights
        ↓
Supervisor Coaching

Evaluation Process Architecture

Recorded Interaction
       ↓
Evaluation Form
       ↓
Evaluator Review
       ↓
Score Calculation
       ↓
Agent Coaching

Real Flow Scenarios

Scenario 1 – Agent Evaluation

Customer Call Recorded
      ↓
Interaction Selected
      ↓
Evaluation Form Applied
      ↓
Agent Score Generated
      ↓
Supervisor Coaching

Scenario 2 – Post Interaction Survey

Customer Interaction Ends
      ↓
Survey Policy Triggered
      ↓
Survey Invitation Sent
      ↓
Customer Completes Survey
      ↓
Feedback Recorded

Scenario 3 – Conversation Analytics

Recorded Call
      ↓
Speech Transcription
      ↓
Topic Detection
      ↓
Sentiment Analysis
      ↓
Supervisor Insight

Speech and text analytics automatically analyze interactions to detect topics and customer sentiment. :contentReference[oaicite:3]{index=3}


Usage Scenarios

Scenario Description
Compliance Monitoring Ensure agents follow regulatory scripts
Customer Experience Monitoring Identify customer dissatisfaction
Agent Coaching Use evaluations to train agents
Service Improvement Detect trends from speech analytics
Voice of the Customer Analyze customer feedback from surveys

Implementation Examples

Configuration Example
Evaluation Form Customer Service Evaluation
Question Group Product Knowledge
Range Question Rate agent professionalism (1-5)
Fatal Question Compliance disclaimer spoken

Design Example

Customer Interaction
        ↓
Recording
        ↓
Quality Evaluation
        ↓
Speech Analytics
        ↓
Performance Dashboard
        ↓
Supervisor Coaching Plan

Best PracticesGenerate a Genesys Cloud wiki section including: Study notes, Navigation, Configuration fields (UI form fields), Dependencies, Platform integration / related components, Related topics / further reading, Implementation checklist, Implementation guide, How to implement, Workflow, Architecture diagrams, Real flow scenarios, Usage scenarios, Implementation examples, Design example, Best practices, Naming convention, Security considerations, Limitations / constraints, Troubleshooting, Interview cheat sheet, and Key takeaways based on the transcript provided to cover everything and search on genesys documentation for anything its missing for Quality Management

Practice Reason
Use standardized evaluation forms Maintain consistent scoring
Enable speech transcription Improve interaction insights
Review evaluations regularly Identify coaching opportunities
Combine analytics with surveys Understand customer sentiment
Use fatal questions carefully Avoid excessive evaluation failures

Naming Convention

Resource Example
Evaluation Form Customer_Service_Evaluation
Survey Form Post_Call_CSAT
Policy Inbound_Call_Evaluation_Policy
Topic Cancellation_Request

Naming Pattern:

<Department>_<Purpose>_<ResourceType>

Security Considerations

Control Description
Encryption Keys Protect interaction recordings
Access Permissions Restrict evaluation access
Recording Retention Define retention policies
Data Privacy Protect sensitive interaction data

Limitations / Constraints

Constraint Description
Survey NPS Limit Only one NPS question per survey
Policy Scope Policies only apply to interactions after activation
Screen Recording Duration Maximum 365 days
Topic Miner Limited to selected queues and date ranges

Troubleshooting

Issue Cause Resolution
Evaluations not created Policy misconfiguration Verify policy criteria
Surveys not sent Survey flow missing Configure Architect survey flow
Missing transcripts Transcription disabled Enable voice transcription
Evaluation form unavailable Form not published Publish evaluation form
Analytics missing topics Topic Miner not configured Run topic mining analysis

Interview Cheat Sheet

Question Answer
What is Genesys Cloud Quality Management? A system to evaluate interactions and improve agent performance.
What tools are used for quality monitoring? Evaluation forms, surveys, policies, recordings, and analytics.
What is a fatal question? A question that fails the entire evaluation if answered incorrectly.
What is Topic Miner? A tool that identifies commonly used phrases in transcripts.
What is sentiment analysis? AI that detects customer emotional tone in conversations.

Key Takeaways

Topic Summary
Quality Management Enables supervisors to evaluate and improve agent interactions
Evaluation Forms Provide structured scoring for agent performance
Surveys Capture customer feedback
Speech & Text Analytics Provide automated insights into conversations
Policies Automate quality monitoring workflows
Coaching Helps improve service quality and customer satisfaction



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