The dashboard includes two queue filters: Queue for Agent Copilot-enabled Agents and Queue for Non-Agent Copilot Agents.

To view data in the dashboard, from the Queue for Agent Copilot-enabled Agents drop-down, select a queue.

The dashboard displays metrics for interactions handled in the selected queue. Metrics are shown only when traffic involves agents with Agent Copilot enabled. If no such interactions occur, the dashboard metrics display as zero.

The Queue for Non-Agent Copilot Agents filter is used to compare the performance of agents with Agent Copilot-enabled against agents without Agent Copilot, either within the same queue or across different queues.

To compare performance:

1. From the Queue for Agent Copilot-enabled Agents drop-down, select a queue.
2. From the Queue for Non-Agent Copilot Agents drop-down, select a queue.

In the Queue Comparison widget, you can view Average Handle Time (AHT) and After Call Work (ACW) between Agent Copilot-enabled agents and non-Agent Copilot agents across the selected queues.

To customize analytics views, use the date filter.

To filter metrics by date or configure a custom date range, use presets. When filtering metrics for this view, select any custom date range up to 6 weeks. 

To use a preset to filter metrics, complete the following steps:

1. To display the date filter, click the date.
2. In the Presets list, select a preset date option.

Date presets

• To use a custom date range to filter metrics, complete the following steps:

1. 1. Click the date to display the date filter.
   2. Select a start date and an end date on the calendar.
   3. Click Apply.

• To view data for a different time period using the same date presets, click the arrows on either side of the date display. For example, to view data for the previous day, click the Day preset, and then click the arrow on the left side of the date.

• To view data for a different time zone using the same date presets, from the Time zone drop-down menu, select the required time zone. You can create and save reports with the same selected time zone.

When each row shows a day, click a row to view that day’s 30-minute intervals.

You can filter the information by media types and user types. The supported media types are voice, callback, chat, email, and message.

To filter the information by media type or users:

1. Click Toggle filters panel . 
2. Search or scroll to select one or more of the following:
   • Media type: Voice, Callback, Chat, Email, and Message.
   • Include inactive users — To include inactive users in the list.
   • Include deleted users — To include deleted users in the list.
   • In the Select field, enter a user name and choose one or more users from the list.

The dashboard reflects the data based on one or more filters selected.

The Genesys Agent Copilot performance dashboard has three sections as follows:

• Overview
• Recommendations
• ACW

In this section, let us discuss them in detail.

Overview

The overview section provides insights about the following:

• Total number of interactions where Agent Copilot was used by agents.
• Comparison of Average Handle Time (AHT) and ACW between Agent Copilot-enabled agents and non-Agent Copilot agents across selected queues.

Interactions with Agent Copilot

The Interactions with Agent Copilot widget provides insights about the total number of interactions in the selected queue where agents used Agent Copilot.

Queue Comparison

The Queue comparison widget provides insights about the comparison of AHT and ACW between Agent Copilot-enabled agents and non-Agent Copilot agents across selected queues. AHT is defined as the average time required to handle interactions. For more information, see average handle time. ACW is defined as the average time agents spent completing after-call work. For more information, see after call work.

Recommendations

The recommendations section provides insights about the following:

• Total number of recommendations generated.
• Number of manual searches performed by agents.
• Detailed performance metrics for each content type.

Total Recommendations

The Total Recommendations widget provides insights about the total number of recommendations that Agent Copilot presented to agents based on interaction context and queries, including a breakdown by content type.

The supported content types are:

• Knowledge articles — Genesys Agent Copilot suggests a knowledge article without retrieval augmented generation.
• Knowledge highlights — Genesys Agent Copilot suggests a knowledge article with highlighted answers.
• Scripts — Genesys Agent Copilot suggests a script page for navigation.
• Canned responses — Genesys Agent Copilot suggests a predefined response.

Search

The Search widget provides insights about the number of manual searches performed by agents within Agent Copilot. 

Recommendation Details

The Recommendation details view provides a detailed breakdown of content surfaced by Agent Copilot. You can filter the data by All, Knowledge search, and Rules engine.

The supported metrics per content type are: 

• Total — Total number of recommendations for the content type.
• Avg per interaction — Average number of times the content type is recommended per interaction.
• Opened — Average number of times agents open the recommended content.
• Copied — Average number of times agents copy the content to a digital channel.
• Feedback — Total feedback provided and the positive feedback percentage.

After Call Work

The After Call Work section provides insights about the AI-generated ACW summaries and wrap-up codes.

For both After Call Work Summary and Wrap-Up Codes, the Feedback metric defines the total number of thumbs-up and thumbs-down responses. To calculate the percentage of positive feedback (thumbs-up), Genesys Cloud divides the number of thumbs-up responses by the total number of thumbs-up and thumbs-down responses and then multiplies the result by 100.

Positive feedback (%) = (ThumbsUp / (ThumsUp + ThumbsDown) × 100

You can use the Summary Analytics Aggregate API to query more KPIs. For more information, see Summary Aggregate Query.

After Call Work Summary

The After Call Work Summary widget provides insights into the AI-generated ACW summaries generated at the end of an interaction.

This section includes these insights:

Wrap-up Codes

The Wrap-up Codes widget provides insights about the AI-suggested wrap-up codes generated at the end of an interaction.

This section includes these insights: