Supervisor Dashboard

Overview

The Supervisor Dashboard (QA Dashboard) provides real-time insights of audit results, agent performance, and failure statistics across daily, weekly, and monthly timeframes. By default, the dashboard displays daily reports for all categories, allowing quick insights into quality standards and agent adherence. It helps you in filtering daily reports by language, date, and communication channel.

Key features include:

• Adherence Heatmap & Performance Monitor: Track evaluation scores, coaching, and trends.

• Agent Leaderboard: Ranks agents based on performance.

• Scorecard Trends: Displays average scores at global (language-specific) levels.

• Critical Metrics: Highlights poor performance using negatively weighted scores.

• Flagged interactions: Surfaced across all tools (for example, QA Dashboard, Audit Screen, Conversation Mining) for targeted coaching and quality control.

The dashboard enables supervisors to maintain quality standards, identify improvement areas, and guide focused coaching through consistent, actionable insights.

Access Supervisor Dashboard

Navigate to Quality AI > ANALYZE > Dashboard.

Note

To access the Dashboard feature, you must enable Auto QA and set up an evaluation form in the Settings to generate Auto QA scores. Only users with appropriate permissions can access the QA functionality.

Dashboard Filters

This dashboard allows you to filter the data by language, time period, and specific channel.

Filter Options

The dashboard metrics allow you to filter and refine the data displayed across the entire dashboard by selected language(s), date range or calendar, and channel.

All Languages

In the Quality AI dashboard, you can search and filter by language and apply the language-specific metrics. You can select multiple languages simultaneously.

These metrics are available based on the languages configured at the evaluation metric level under the Configuration > Settings > Language Settings.

To filter by language,

• Locate the All Languages filter at the top of the dashboard.
• Select single or multiple languages from the dropdown.
• Metrics automatically adjust to show language-specific data.

Note

By default, all languages are selected when the All Languages filter is applied. Metrics are only displayed for languages configured at the evaluation metric level under Configuration > Settings.

When a language filter is applied, the following widget metrics are updated to reflect data specific to the selected languages:

• Total Audits: Shows audits count only for selected languages.

• Avg. Audits per Agent: Updates to show average for selected languages.

• Evaluation Score: Updates both Manual and Auto QA scores for selected languages.

• Fail Statistics (Evaluation Form): Shows failure data for selected languages.

• Performance Monitor (Evaluation Form): Updates performance metrics for selected languages.

Date Range

Use the Calendar to filter data by selecting a date range shown at the top-right of the dashboard, next to All Languages. The displayed data gets updated based on the chosen language and time period.

To filter by calendar,

• Click the Calendar dropdown.
• Select the desired date range.
• Click Apply to refresh dashboard data.
  

Channel

The Quality AI dashboard's default settings display combined data from all three channels — Voice, Chat, or All. You can filter performance metrics by channel: Voice, Chat, or All (which includes both Voice and Chat conversations). The dashboard presents trends and graphs with daily, weekly, and monthly views, along with a distribution view. Data is displayed based on the selected language and channel.

To filter by channel,

• Click All channels in the top-right corner.

• Choose your preferred channel option (Voice, Chat, or All).
  

Agent Performance Metrics

This outlines the metrics that used to assess agent performance and monitor coaching progress. Metrics are filtered based on the selected languages and date range.

The following components provide insights through audit results and coaching activity tracking:

Total Audits

Displays the total number of completed manual audits.

Avg. Audits per Agent

Displays the average number of manual audits or evaluations completed by each agent, based on their assigned queues.

Coaching Sessions Assigned

Displays the total coaching sessions assigned to agents by supervisors.

Agents in Coaching

Displays the number of agents with an active coaching assignment in the queues that the supervisor has access to.

Fatal Interactions

Displays the number of interactions that failed due to critical errors. If an interaction meets any fatal criteria defined in the evaluation form, the entire scorecard is scored as zero, regardless of performance in other areas.

Audit Progress

Displays and tracks the overall progress score of audits (both pending and completed).

• Completed: Number of assigned interactions that are audited.

• Pending: Number of interactions assigned for audit and not yet audited.

• Audit: Click the Audit button to navigate to the Conversation Mining > Audit Allocations feature, where you can start evaluating interactions. For more information, see Audit Allocations.
  

Evaluation Score

This displays the trend of the average Kore Evaluation Score (Auto QA Score) alongside the average Audit Score (manual) over the last 7 days (daily), 7 weeks (weekly), or 7 months (monthly).

Adherence Heat Map

This presents a simplified heatmap of adherence data for the past 7 days. It includes a default form selection without any click-through functionality.

You can filter and view flagged or fatal interactions for each form. Additionally, you can select a default evaluation form and designate it as the "Mark as Default" queue. This allows you to view adherence data on both the heatmap and the QA dashboard, filtered by the selected languages for future reference.

To view adherence with fatal errors or interactions, you should do the following:

• Evaluation Form: Choose a form from the dropdown to set it as Default. This allows you to view related data, including fatal interactions, on both the heatmap and QA dashboard.

• Language Filter: Use the All Languages drop-down to filter adherence data by language. All languages are selected by default.

• Tooltip Information: Hover over the heatmap to view key metrics for the selected agents of the corresponding date, including adherence percentage, interaction count, and total interactions.

Note

You must enable Auto QA (Settings > Quality AI General Settings) to to configure evaluation forms and generate automated scores.

View More Details

Click the View More Details button to see detailed trends in agent adherence. For more information, see Adherence Heatmap.

Fail Statistics

The Fail Statistics chart displays the count of failed interactions based on the selected Evaluation forms, scorecards, and date, and selected language. Allows you to view failure trends for the chosen Evaluation forms over the past 7 days, 7 weeks, or 7 months in daily, weekly, or monthly views. This displays failure statistics through the following charts for evaluation forms and agent scorecards over a selected time period.

Evaluation Form

This chart shows failure scores across the selected evaluation forms, helping teams monitor failure rates or negative scores tied to key evaluation metrics. When you hover over the chart, it reveals specific failure rates or negatively weighted scores, so you can take corrective actions without manually reviewing each failed interaction.

By assigning negative weights to critical metrics in evaluation forms, attributes, or scorecards, you generate negative final scores for certain interactions. The system displays these scores across relevant modules.

Agent Scorecard

The chart displays the trend of failed agent interactions as a percentage, based on selected scorecard metrics. If any of the selected metrics are marked as fatal criteria, the entire interaction or scorecard shows a zero score when you hover over it. Fatal interactions are automatically flagged and filtered across system modules for visibility and further action.

Note

This Agent Scorecard tab appears on the dashboard only when the widget option is enabled in the Quality AI General Settings.

Performance Monitor

This displays the overall performance score for the selected language, date range, and evaluation form assigned with negative weights.

Evaluation Form

Supervisors can monitor agent performance using the selected evaluation form with negative weights assigned.

• Trends: The Performance Monitor provides a Trends view (agent performance) that visualizes the average Kore Evaluation scores (both positive and negative) from agent scorecards on a daily, weekly, and monthly basis.
  

• Distribution: This view shows agents are distributed across score bands in increments of 10 over the last 7, 30, and 90 days.
  

Agent Scorecard

• Trends: This view displays the performance monitor for agent scorecards. This provides a trend view of the percentage of interactions with agent scorecard failures based on the selected scorecard.
  

Note

To access this feature, enable the Agent Scorecard toggle switch displayed under the Quality AI General Settings.

• Distribution: This view displays how agents are distributed across score bands in increments of 10 over the last 7 days, 30 days and 90 days.
  

Agent Leaderboard

The Agent Leaderboard provides a centralized view that makes it easy to identify top and bottom performers, enabling informed decisions about recognizing high achievers and coaching those who need improvement. This widget offers a simplified snapshot of agent performance and functions independently of language selection and communication channels.

Note

To activate automated agent scoring, you must enable the Agent Scorecard toggle under Quality AI General Settings. If this setting is not enabled, the Agent Leaderboard shows blank with no interactions.

Agent Leaderboard Interface Elements

The Agent Leaderboard displays the following elements:

• Agents: Displays the agent group name and the assigned queue.

• Audit Completed: Displays the total number of manual audits completed by each agent.

• Audit Score: Displays the average score of the manual audits.

• Kore Evaluation Score: Displays the average Kore Evaluation Score for each audited interaction.

• Fail Percentage: Displays the failure percentage across all interactions.

View Leaderboard

The View Leaderboard option allows supervisors, auditors, and managers to see both top and bottom-performing agents, along with their conversations. For more information, see Agent Leaderboard.

• Click the View Leaderboard button located at the top-right corner to access the Agent Leaderboard quickly.
  

View Agent Leaderboard

You can view the Agent Leaderboard or Agent-Specific Dashboard in the following ways:

• Navigate to Quality AI > Dashboard > Agent Leaderboard. Or,
  

• Navigate to Quality AI > Agent Leaderboard.
  

• Click on any agent to view the individual Agent Leaderboard or Agent-Specific Dashboard.
  

Based on the selection, the Agent Leaderboard page displays all listed agents or only the dashboard for the selected agent.

Notes

• If no scorecards are assigned to an agent, the supervisor cannot view that agent's scorecard details. For more information, see Supervisor View with Agent-Specific Dashboard.

• Supervisors can also review language-specific agent interactions and evaluation details to support targeted coaching.

• Bookmarked interactions help assign relevant coaching tasks, with the most recent interactions displayed first.

For more information, see Supervisor View with Agent-Specific Dashboard and Agent Dashboard - Agent View.

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