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Voice QA Setup Guide

This guide walks you through setting up Voice QA from start to finish — from connecting your phone system to configuring evaluation rules and interpreting results.


Table of Contents

  1. Overview
  2. Step 1: Connect Your Phone System
  3. Step 2: Create Departments
  4. Step 3: Configure Evaluation Rules
  5. Step 4: Set Up Categories
  6. Step 5: Add Staff
  7. Step 6: Manage Clients
  8. Understanding Evaluations
  9. Scoring System Explained
  10. Reading Evaluation Results
  11. Best Practices
  12. Troubleshooting

Overview

Voice QA is an AI-powered call quality assurance system that:

  • Transcribes every call automatically
  • Evaluates calls against your custom rules
  • Scores performance as a percentage (e.g., 86%/100%)
  • Provides detailed feedback for each rule

Pricing

  • 12 credits per minute of audio analyzed
  • Includes transcription, AI evaluation, and all analytics

Step 1: Connect Your Phone System

Voice QA integrates with PBX phone systems to automatically receive call recordings.

Supported Platforms

PlatformRegionDescription
Orange MoldovaMoldovaDirect PBX integration
MoldcellMoldovaDirect PBX integration

Other PBX Systems

Voice QA can be configured to work with any PBX system. Contact Support for guidance on integrating your specific phone system.

Configuration Steps

  1. Navigate to Voice QA → Integration
  2. Select your platform (Orange or Moldcell)
  3. Enter your API credentials:
    • API Key
    • API Secret
    • Account ID
  4. Configure department mapping
  5. Enable synchronization
  6. Test the connection

Once connected, calls automatically flow into Voice QA for processing.


Step 2: Create Departments

Departments organize your call center by team or function. Each department has its own:

  • Staff members
  • Clients
  • Evaluation rules
  • Performance metrics

Creating a Department

  1. Navigate to Voice QA → Departments
  2. Click Add Department
  3. Fill in:
FieldDescription
NameDepartment identifier (e.g., "Customer Support")
DescriptionPurpose and scope
Scoring TypeFixed or Weighted (see Scoring System)
  1. Click Create

Department Structure

Department
├── Staff (agents assigned to this team)
├── Clients (customers who call this team)
├── Evaluation Rules
│   ├── General Category (always applied)
│   └── Specific Categories (applied when relevant)
└── Performance Statistics

Step 3: Configure Evaluation Rules

Evaluation rules define what agents should do during calls. The AI evaluates each call against these rules and provides a score.

Rule Types

Voice QA supports two scoring types:

Fixed Scoring (0-10 Scale)

Every rule is evaluated on a consistent 0-10 point scale.

RuleScoreMax
Used proper greeting810
Verified customer identity1010
Resolved the issue710

Best for: Consistent evaluation where all rules have equal importance.

Weighted Scoring (Custom Scale)

Each rule has its own scale based on importance:

RuleScaleImportance
Used proper greeting0-3Medium
Verified customer identity0-5High
Resolved the issue0-10Critical

Best for: Nuanced evaluation where some behaviors matter more than others.

Creating Rules

  1. Open your department
  2. Navigate to Rules section
  3. Click Add Rule
  4. Configure:
FieldDescription
TextWhat the rule evaluates (e.g., "Agent used customer's name")
Weight/Max ScoreMaximum points for this rule
Call TypeIncoming, Outgoing, or Both
CategoryWhich category this rule belongs to

Example Rules

Customer Support Rules:

RuleScaleType
Agent greeted customer professionally0-3Incoming
Agent verified customer identity0-5Both
Agent listened actively to the issue0-5Both
Agent provided accurate information0-5Both
Agent resolved the issue or escalated properly0-10Both
Agent thanked customer at end of call0-2Both

Step 4: Set Up Categories

Categories group related rules and define when they should be applied.

How Categories Work

  • General Category — Always applied to every call (default)
  • Specific Categories — Applied only when relevant to the call type

The AI automatically matches the call to relevant categories based on the conversation content.

Creating Categories

  1. In your department, go to Rules → Categories
  2. Click Add Category
  3. Configure:
FieldDescription
NameCategory identifier (e.g., "Sales Calls")
DescriptionWhen this category applies — be specific!
  1. Add rules to this category

Example Categories

CategoryDescriptionApplied When
GeneralCore quality standardsEvery call
SalesSales-specific behaviorsCustomer shows purchase interest
Technical SupportTechnical issue handlingCustomer reports technical problem
ComplaintsComplaint handlingCustomer expresses dissatisfaction
BillingPayment and account issuesFinancial topics discussed

Category Descriptions

Write clear descriptions that help the AI understand when to apply each category:

Good: "Apply when the customer is inquiring about purchasing a product or service, comparing options, or asking about pricing."

Bad: "Sales calls"


Step 5: Add Staff

Staff members are the agents whose calls are evaluated.

Adding Staff

  1. Navigate to Voice QA → Staff
  2. Click Add Agent
  3. Fill in:
FieldRequiredDescription
First NameYesAgent's first name
Last NameYesAgent's last name
EmailNoFor notifications
Department(s)YesAssign to one or more departments
AliasNoDisplay name
  1. Click Add

Staff Performance Tracking

Each agent's profile shows:

  • Overall average score
  • Score trend over time
  • Category breakdown
  • Rule-by-rule performance
  • Recent evaluations

Step 6: Manage Clients

Clients are customers whose calls are tracked over time.

Adding Clients

  1. Navigate to Voice QA → Clients
  2. Click Add Client
  3. Fill in:
FieldDescription
NameCustomer or company name
TypeIndividual or Company
Phone NumbersAll associated numbers with labels

Phone Number Matching

When a call comes from a known phone number:

  1. Voice QA automatically links it to the client
  2. Interaction history is updated
  3. You can track quality trends per client

Understanding Evaluations

When a call is evaluated, Voice QA produces comprehensive results.

Evaluation Process

  1. Transcription — Voice converted to searchable text
  2. Category Matching — AI identifies relevant categories
  3. Rule Evaluation — Each applicable rule is scored
  4. Score Calculation — Total percentage computed
  5. Insights Generated — Summary, intent, and recommendations

What Categories Are Applied

For each call, the AI applies:

  • General Category — Always included
  • Matching Specific Categories — Based on conversation content

Example: A sales inquiry about a billing issue would trigger:

  • General ✓
  • Sales ✓
  • Billing ✓

Scoring System Explained

How Scores Are Calculated

The final score is a percentage representing points earned vs. points possible.

Score = (Points Earned / Points Possible) × 100%

Fixed Scoring Example

All rules on 0-10 scale:

RuleScoreMax
Greeting910
Identity Verification1010
Issue Resolution810
Closing710
Total3440

Final Score: 85% (34/40)

Weighted Scoring Example

Rules with custom scales:

RuleScoreMax
Greeting (medium)23
Identity Verification (high)55
Issue Resolution (critical)810
Closing (low)22
Total1720

Final Score: 85% (17/20)

Score Interpretation

ScoreLevelMeaning
90-100%ExcellentConsistently follows best practices
75-89%GoodMinor areas for improvement
60-74%AverageSeveral areas need attention
Below 60%Needs ImprovementRequires coaching

Reading Evaluation Results

Each evaluated conversation provides detailed insights.

Overview Tab

FieldDescription
ScorePercentage achieved (e.g., 86%/100%)
SatisfactionCustomer satisfaction rating (0-10)
SentimentPositive, Neutral, or Negative
IntentShort summary of what the customer wanted
RecommendationsSuggestions for improvement
TranscriptFull text of the conversation

Evaluation Tab (Rule-by-Rule)

Switch to the Evaluation tab to see detailed rule analysis.

For each rule, you'll see:

SectionDescription
ScorePoints earned vs. maximum (e.g., 8/10)
EvidenceDirect quotes from the conversation
AnalysisAI explanation of why this score was given
Improvement SuggestionSpecific advice for doing better

Example Rule Evaluation

Rule: "Agent verified customer identity before accessing account"

FieldContent
Score5/5 ✓
Evidence"Could you please confirm your date of birth and the last four digits of your account number?"
AnalysisAgent properly verified identity using two authentication factors before proceeding with account access.
SuggestionNone needed — excellent adherence to security protocol.

Best Practices

For Creating Rules

  • ✅ Be specific and measurable
  • ✅ Use objective criteria
  • ✅ Align with business goals
  • ✅ Keep to 10-15 rules per category
  • ❌ Avoid vague terms like "was friendly"
  • ❌ Don't create overlapping rules

For Writing Category Descriptions

  • ✅ Explain when the category applies
  • ✅ Give specific examples
  • ✅ Use clear, unambiguous language
  • ❌ Don't use single-word descriptions
  • ❌ Don't assume context

For Managers

  • Review trends, not just individual scores
  • Use rule-by-rule data to identify training needs
  • Celebrate high performers
  • Update rules as standards evolve

For Agents

  • Review feedback after each evaluation
  • Pay attention to Evidence quotes
  • Apply Improvement Suggestions
  • Track your own progress over time

Troubleshooting

Calls Not Appearing

CheckSolution
Integration enabled?Verify sync is on in Integration tab
Correct department?Check department mapping
Date range?Adjust filters

Low Scores Unexpected

IssueSolution
Rules unclearRewrite rules with specific criteria
Category mismatchImprove category descriptions
Wrong call typeCheck Incoming/Outgoing settings

Wrong Categories Applied

IssueSolution
Vague descriptionMake category description more specific
Overlapping categoriesDifferentiate category triggers

Audio Quality Issues

IssueSolution
Transcription errorsCheck original audio quality
Missing segmentsVerify complete file upload

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