Glossary
Key terms and concepts for AI operations, data pipelines, and customer experience.
AI & Automation
AI Agent Quality Assurance
The systematic process of monitoring, evaluating, and optimizing conversational AI agents to ensure accuracy, safety, and brand alignment.
AI Hallucination
A phenomenon where a large language model (LLM) generates plausible-sounding but factually incorrect or nonsensical information.
Grounding
The process of ensuring AI agent responses are supported by verified data sources, knowledge bases, or business ontologies.
AI Observability
The practice of monitoring, analyzing, and understanding AI agent behavior and performance in production environments.
Agent Drift
The gradual degradation of AI agent performance over time, where responses deviate from expected quality standards.
Conversational Accuracy
A metric measuring how accurately AI agents understand customer intent and provide correct, helpful responses.
Brand Safety Guardrails
Predefined rules and boundaries that prevent AI agents from generating responses that could harm brand reputation or violate brand guidelines.
LLM Evaluation Rubrics
Structured scoring frameworks used to automatically evaluate the quality, accuracy, and appropriateness of LLM-generated responses.
Brand Guidelines Guardrail Agent
An AI-powered system that monitors and enforces brand guidelines and safety standards in customer interactions, particularly for AI agents.
Data
Data Pipelines
A sequence of steps that collect, process, and move data between sources for storage, analytics, machine learning, or other uses.
Ontology
A digital blueprint that models how all your business data connects, like a digital twin of your organization's knowledge structure.
Operations Intelligence (OI)
A unified platform approach that connects all business data, systems, and processes to enable intelligent automation, AI agents, and data-driven decision-making.
Quality Assurance
AI Scorecard
A comprehensive evaluation framework that measures and tracks AI model performance, accuracy, and reliability across different metrics and use cases.
Quality Assurance (QA)
A systematic process of evaluating customer interactions to ensure service quality, compliance, and consistency while identifying opportunities for improvement.
First Contact Resolution (FCR)
A key customer service metric measuring the percentage of customer inquiries resolved during the first interaction, without requiring follow-up.
Quality Score
A numerical rating that quantifies the quality of customer interactions based on defined evaluation criteria and standards.
Calibration
The process of ensuring QA evaluators apply quality standards consistently and accurately when scoring customer interactions.
Agent Scorecard
A performance dashboard that tracks individual agent metrics including quality scores, efficiency metrics, customer satisfaction, and adherence to standards.
QA Scorecard
A quality assurance dashboard that tracks quality scores, compliance metrics, and evaluation results to measure and improve interaction quality.
Agent Performance Metrics
Key measurements that track individual agent performance including quality, efficiency, customer satisfaction, and productivity indicators.
AgentQA
Quality assurance processes and tools specifically designed for evaluating and improving customer service agent performance.
Automation
AI Process
A structured workflow that leverages artificial intelligence to automate complex business operations, from data ingestion to insight generation.
AI Agents
Intelligent software systems that autonomously perform tasks, make decisions, and interact with users or systems to accomplish specific goals.
Workflow Automation
The use of technology to automate business processes and workflows, reducing manual effort and improving efficiency and consistency.
Robotic Process Automation (RPA)
Technology that uses software robots to automate repetitive, rule-based tasks typically performed by humans interacting with digital systems.
Analytics
AI Metrics
Quantitative measurements that track the performance, effectiveness, and impact of AI models and automated processes.
Observability
The ability to understand and monitor the internal state of systems, processes, and operations through comprehensive data collection, analysis, and visualization.
Monitoring
The continuous observation and tracking of systems, processes, and metrics to ensure performance, detect issues, and enable proactive management.
Performance Scorecard
A strategic management tool that tracks key performance indicators (KPIs) and metrics to measure progress toward organizational goals and objectives.
Key Performance Indicator (KPI)
A measurable value that demonstrates how effectively an organization is achieving key business objectives and goals.
Voice of Customer
Polarity Score in VoC
A quantitative measurement of customer sentiment polarity (positive, negative, or neutral) derived from Voice of Customer data analysis.
Voice of Customer (VoC)
A systematic approach to capturing, analyzing, and acting on customer feedback, opinions, and insights across all touchpoints.
Sentiment Analysis
The use of natural language processing and machine learning to identify and extract emotional tone, opinions, and attitudes from text or speech.
Net Promoter Score (NPS)
A customer loyalty metric that measures the likelihood customers will recommend a company, product, or service to others.
Customer Satisfaction Score (CSAT)
A metric that measures customer satisfaction with a specific interaction, product, or service experience.
Topic Analysis
The process of identifying and categorizing common themes, subjects, and topics mentioned in customer interactions and feedback.
Overall Satisfaction (OSAT)
A customer experience metric that measures overall satisfaction with a brand, product, or service across all touchpoints.
CSAT Response Rate
The percentage of customers who complete CSAT surveys out of all customers who are invited to participate.
CSAT Scoring
The methodology for calculating and interpreting CSAT scores from customer survey responses.
AI-Powered Voice of Customer
Voice of Customer programs enhanced with artificial intelligence to automatically analyze 100% of customer interactions, extract insights, and provide real-time sentiment analysis.
Real-Time VoC Analytics
Voice of Customer analytics that processes and analyzes customer feedback instantly as interactions occur, providing immediate insights into customer sentiment and satisfaction.
VoC Analytics Platform
A comprehensive software platform that captures, analyzes, and provides insights from customer feedback across all touchpoints using AI-powered analytics.
Customer Sentiment Tracking
The continuous monitoring and measurement of customer emotions, opinions, and attitudes toward a brand, product, or service across all interaction channels.
Emotion Detection in VoC
The use of AI and natural language processing to identify and classify specific emotions expressed by customers in their feedback and interactions.
Topic Extraction in VoC
The automated process of identifying and categorizing key topics, themes, and subjects mentioned in customer feedback using AI and natural language processing.
VoC Feedback Loop
A systematic process of collecting customer feedback, analyzing insights, implementing improvements, and communicating changes back to customers to close the feedback cycle.
VoC Insights
Actionable intelligence derived from analyzing customer feedback that identifies trends, patterns, opportunities, and issues to inform business decisions.
NPS Survey
A customer loyalty survey that asks customers how likely they are to recommend a company, product, or service to others, typically using a 0-10 scale.
NPS Improvement
Strategies and actions taken to increase Net Promoter Score by converting detractors to passives or promoters and enhancing overall customer experience.
NPS Benchmarking
The practice of comparing your Net Promoter Score against industry standards, competitors, or historical performance to understand relative performance and set improvement goals.
Customer Advocacy
The practice of customers actively promoting, recommending, and defending a brand, product, or service to others, often measured through NPS and referral programs.
Customer Loyalty Metrics
Key performance indicators that measure customer loyalty, retention, and advocacy, including NPS, retention rate, lifetime value, and repeat purchase rate.
Customer Feedback Analysis
The systematic process of collecting, processing, and analyzing customer feedback to extract insights, identify trends, and inform business decisions.
Customer Journey Analytics
The analysis of customer interactions and experiences across all touchpoints throughout the customer lifecycle to understand journey patterns, pain points, and optimization opportunities.
Customer Experience Analytics
The analysis of customer interactions, behaviors, and feedback to measure and improve overall customer experience quality, satisfaction, and business outcomes.
VoC Program
A structured initiative designed to systematically capture, analyze, and act on customer feedback to improve products, services, and overall customer experience.
VoC Strategy
A strategic plan that defines how an organization will capture, analyze, and act on customer feedback to achieve business goals and improve customer experience.
VoC Metrics
Key performance indicators used to measure the effectiveness of Voice of Customer programs, including NPS, CSAT, sentiment scores, and feedback volume.
Customer Experience
Customer Experience (CX)
The overall perception and feelings customers have about a brand based on all interactions and touchpoints throughout their journey.
Omnichannel
A unified approach to customer engagement that provides seamless, consistent experiences across all communication channels and touchpoints.
Customer Journey
The complete end-to-end experience a customer has with a brand, from initial awareness through purchase, support, and ongoing relationship.
Customer Effort Score (CES)
A customer experience metric measuring how easy it is for customers to accomplish their goals or resolve issues.
Customer Lifetime Value (CLV)
A metric estimating the total revenue a customer will generate over their entire relationship with a company.
Customer Service Scorecard
A performance dashboard that tracks customer service metrics including quality, efficiency, customer satisfaction, and service level achievement.
Call Center Metrics
Average Handle Time (AHT)
A call center metric measuring the average duration of a customer interaction, including talk time, hold time, and after-call work.
Average Speed of Answer (ASA)
A call center metric measuring the average time customers wait before their call is answered by an agent.
Service Level
A call center performance metric measuring the percentage of calls answered within a specified time threshold.
Abandon Rate
A call center metric measuring the percentage of calls that disconnect before being answered by an agent.
Occupancy
A call center metric measuring the percentage of time agents spend handling contacts versus available time.
After-Call Work (ACW)
Tasks performed by agents after completing a customer interaction, such as updating records, documenting the interaction, and processing requests.
Call Center Scorecard
A comprehensive performance dashboard that tracks and displays key call center metrics, KPIs, and performance indicators in a single view.
Contact Center Scorecard
A performance dashboard tracking metrics across all customer contact channels including voice, email, chat, and social media interactions.
Call Center KPIs
Key performance indicators specifically used to measure and evaluate call center performance, efficiency, and customer experience quality.
Contact Center Metrics
Performance measurements that track efficiency, quality, and customer experience across all customer contact channels including voice, email, chat, and social media.
Service Level Calculation
The formula and methodology for calculating service level in call centers and contact centers.
Workforce Management
Schedule Adherence
A workforce management metric measuring how closely agents follow their assigned schedules, including start times, breaks, and end times.
Forecasting
The process of predicting future call volume, handle times, and staffing requirements to enable optimal workforce planning and scheduling.
Intraday Management
The real-time monitoring and adjustment of staffing, schedules, and operations throughout the day to optimize performance and achieve service level targets.