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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.

AI-Native Call Center Platform

A call center platform built from the ground up with AI at the core, where workflows, routing, QA, and automation are designed for AI-first execution.

Native AI Contact Center Platform

A contact center platform architected natively for AI operations, where automation, quality monitoring, and customer workflows are first-class capabilities.

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.

AutoQA

Automated quality assurance that uses AI to evaluate interactions at scale, replacing manual sample-based QA with continuous scoring and insights.

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.

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.

Call Center Software

Software for handling inbound and outbound phone-based customer interactions, now often extended with AI, automation, and omnichannel capabilities.