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This page provides an overview of all configuration options available in Quality AI, organized by category. Use the links below to jump directly to the topic you need.

General Settings

Configure app-level behavior, access controls, and language preferences for Quality AI.
ConfigurationDescription
Quality AI ExpressSet up Quality AI for third-party CCaaS platforms using file-based integration.
General SettingsManage Auto QA scoring, agent access to interactions, and auditor anonymity.
Conversation IntelligenceConfigure conversation intelligence features at the app level.
Language SettingsSet languages for evaluation metrics and conversation insights.

Conversation Sources

Manage where Quality AI ingests voice and chat conversations from.
ConfigurationDescription
Conversation SourcesConnect and manage conversation inputs from CCAI, Agent AI, and Quality AI Express.

Evaluation Criteria

Define what Quality AI measures and how it scores agent performance.
ConfigurationDescription
Evaluation MetricsDefine performance indicators for measuring interaction quality.
Evaluation FormsCreate standardized assessments aligned to queues and channels.
Auto QA ConfigurationBest practices for Auto QA configurations

Metrics Measurement Types

Choose the right measurement type for each evaluation metric.
Metric TypeDescription
By QuestionEvaluate agent responses to specific questions, statically or dynamically.
By AI AgentUse AI agents to assess multiple conversation aspects in a single evaluation call.
By Playbook AdherenceMeasure how well agents follow established procedures and workflows.
By Dialog TaskEvaluate adherence to predefined scripts and behavioral steps.
By ValueValidate agent accuracy against backend data using LLM-powered entity recognition.
By SpeechAssess voice behaviors such as crosstalk, dead air, and speaking rate.
By Hold EtiquetteEvaluate how agents manage customer holds during voice interactions.
By Transfer EtiquetteAssess how agents handle internal customer transfers during voice interactions.
AutoQA Prompting GuideLearn how to write effective prompts for LLM-based adherence detection.

Agent Scorecards

Assess agent performance across custom attributes and scorecards.
ConfigurationDescription
Agent ScorecardsDefine agent-level evaluation criteria and combine metrics into agent attributes.

Taxonomy Builder

Organize conversation topics to reflect your business priorities.
ConfigurationDescription
OverviewUnderstand how Taxonomy Builder structures topic hierarchies for conversation analysis.
Setup TaxonomyCreate and manage topic hierarchies to categorize customer conversations.

Connectors

Connect external data sources to Quality AI for conversation ingestion.
ConnectorDescription
AWS S3 ConnectorPull recordings and transcripts from an S3 bucket into Quality AI Express.