> ## Documentation Index
> Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Dashboards, Analytics, and Audit

The **Analyze** section of Quality AI provides dashboards, analytics, and audit tools to help supervisors, QA managers, and agents monitor performance, evaluate interactions, and make data-driven coaching decisions.

Use the links below to navigate directly to the respective topic.

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## Dashboards

Track agent performance, audit results, and quality trends across your contact center.

| Dashboard                                                                                                                 | Description                                                                                                                        |
| ------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |
| [Supervisor Dashboard](/ai-for-service/quality-ai/analyze/dashboard)                                                      | Real-time audit results, agent performance, failure statistics, and scorecard trends across daily, weekly, and monthly timeframes. |
| [My Dashboard - Agent View](/ai-for-service/quality-ai/analyze/my-dashboard-agent-view)                                   | Personalized agent workspace showing supervisor-assigned scorecards, sentiment trends, and resolution effectiveness.               |
| [Supervisor View - Agent-Specific Dashboard](/ai-for-service/quality-ai/analyze/supervisor-view-agent-specific-dashboard) | Detailed per-agent performance view with sentiment and resolution insights at the L3 topic level for targeted coaching.            |
| [Agent Dashboard - Supervisor Evaluation](/ai-for-service/quality-ai/analyze/agent-dashboard-supervisor-evaluation)       | Language-specific evaluation data for individual agents, ordered by recency, to identify coaching opportunities.                   |
| [Agent Leaderboard](/ai-for-service/quality-ai/analyze/agent-leaderboard)                                                 | Ranks agents by performance score across queues and channels, highlighting top and bottom performers.                              |
| [Adherence Heatmap](/ai-for-service/quality-ai/analyze/adherence-heatmap)                                                 | Visual timeline of how consistently agents meet evaluation metrics, with drill-down into non-compliant interactions.               |

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## Analytics & Intelligence

Gain deeper insight into contact center performance, customer experience, and conversation trends.

| Feature                                                                                   | Description                                                                                                                  |
| ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |
| [Conversation Intelligence](/ai-for-service/quality-ai/analyze/conversation-intelligence) | Post-interaction analytics dashboard covering agent efficacy, customer experience, and contact center efficiency metrics.    |
| [Customer Experience (CX) Insights](/ai-for-service/quality-ai/analyze/cx-insights)       | Post-interaction view of customer experience combining sentiment, resolution, churn risk, and topic-level drivers.           |
| [Performance Insights](/ai-for-service/quality-ai/analyze/performance-insights)           | Time-based visualization of agent communication quality, empathy, language trends, evaluation scores, and sentiment.         |
| [Topic Discovery](/ai-for-service/quality-ai/analyze/topic-discovery)                     | Interactive bubble canvas that maps conversation topics to sentiment, resolution rates, and handle times for trend analysis. |

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## Conversation Mining & Auditing

Review, filter, and manually evaluate interactions to ensure quality coverage and compliance.

| Feature                                                                                                       | Description                                                                                                                        |
| ------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |
| [Conversation Mining - Interactions](/ai-for-service/quality-ai/analyze/conversation-mining-interactions)     | Review and filter scored interactions by queue, keyword, topic, intent, and resolution to surface conversations needing attention. |
| [AI-Assisted Manual Audit](/ai-for-service/quality-ai/analyze/ai-assisted-manual-audit)                       | Evaluate voice and chat interactions using AI-generated insights alongside manual review for compliance and coaching.              |
| [Audit Allocations](/ai-for-service/quality-ai/analyze/conversation-mining-audit-allocations)                 | Assign interactions to auditors for structured manual QA with real-time tracking of assignment and completion progress.            |
| [Creating Audit Allocations](/ai-for-service/quality-ai/analyze/creating-audit-allocations)                   | Step-by-step guide to setting up allocations — defining scope, allocation type, and auditor assignments.                           |
| [Understanding Views and Permissions](/ai-for-service/quality-ai/analyze/understanding-views-and-permissions) | Role-based guide to the My Allocations and Assigned to Me tabs, and what each permission level can access.                         |

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