> ## Documentation Index > Fetch the complete documentation index at: https://koreai.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Configurations Overview 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. | Configuration | Description | | - | - | | [Quality AI Express](/ai-for-service/quality-ai/configure/quality-ai-express) | Set up Quality AI for third-party CCaaS platforms using file-based integration. | | [Conversation Intelligence](/ai-for-service/quality-ai/configure/conversation-intelligence) | Configure conversation intelligence features at the app level. | | [General Settings](/ai-for-service/quality-ai/configure/quality-ai-general-settings) | Manage AutoQA scoring, agent access to interactions, and auditor anonymity. | | [Language Settings](/ai-for-service/quality-ai/configure/language-settings) | Set languages for evaluation metrics and conversation insights. | *** ## Conversation Sources Manage where Quality AI ingests voice and chat conversations from. | Configuration | Description | | - | - | | [Conversation Sources](/ai-for-service/quality-ai/configure/conversation-sources) | Connect 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. | Configuration | Description | | - | - | | [Evaluation Metrics](/ai-for-service/quality-ai/configure/evaluation-metrics) | Define performance indicators for measuring interaction quality. | | [Evaluation Forms](/ai-for-service/quality-ai/configure/evaluation-forms) | Create standardized assessments aligned to queues and channels. | | [AutoQA Configuration](/ai-for-service/quality-ai/getting-started/best-practices-for-auto-qa-config) | Best practices for AutoQA configurations | ### Metrics Measurement Types Choose the right measurement type for each evaluation metric. | Metric Type | Description | | - | - | | [By Question](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-question) | Evaluate agent responses to specific questions, statically or dynamically. | | [By AI Agent](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-ai-agent) | Use AI agents to assess multiple conversation aspects in a single evaluation call. | | [By Playbook Adherence](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-playbook-adherence) | Measure how well agents follow established procedures and workflows. | | [By Dialog Task](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-dialog-task) | Evaluate adherence to predefined scripts and behavioral steps. | | [By Value](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-value) | Validate agent accuracy against backend data using LLM-powered entity recognition. | | [By Speech](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-speech) | Assess voice behaviors such as crosstalk, dead air, and speaking rate. | | [By Manual Evaluation](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-manual-evaluation) | Evaluates agent performance through human-led reviews when automated detection is insufficient. | | [By Hold Etiquette](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-hold) | Evaluate how agents manage customer holds during voice interactions. | | [By Transfer Etiquette](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/by-transfer) | Assess how agents handle internal customer transfers during voice interactions. | | [AutoQA Prompting Guide](/ai-for-service/quality-ai/configure/evaluation-criteria/metrics-measurement-types/autoqa-prompting-guide) | Learn how to write effective prompts for LLM-based adherence detection. | *** ## Agent Scorecards Assess agent performance across custom attributes and scorecards. | Configuration | Description | | - | - | | [Agent Scorecards](/ai-for-service/quality-ai/configure/agent-scorecards) | Define agent-level evaluation criteria and combine metrics into agent attributes. | *** ## Taxonomy Builder Organize conversation topics to reflect your business priorities. | Configuration | Description | | - | - | | [Overview](/ai-for-service/quality-ai/configure/taxonomy-builder/overview) | Understand how Taxonomy Builder structures topic hierarchies for conversation analysis. | | [Setup Taxonomy](/ai-for-service/quality-ai/configure/taxonomy-builder/setup-taxonomy) | Create and manage topic hierarchies to categorize customer conversations. | *** ## Connectors Connect external storage platforms to import conversation data into Quality AI Express for analysis, evaluation, and insights. | Connector | Description | | - | - | | [AWS S3 Connector](/ai-for-service/quality-ai/connectors/aws-s3-connector-setup-guide) | Pull conversation recordings, transcripts, chats, and metadata from an S3 bucket into Quality AI Express. | | [Azure Blob Connector](/ai-for-service/quality-ai/connectors/azure-blob-connector-setup-guide) | Pull conversation recordings, transcripts, chats, and metadata from Azure Blob Storage into Quality AI Express. | *** This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.