The Human Agents Dashboard aims to give insights into how helpdesk agents interact with users. This will provide you with insights about the top-performing agents attending to customers, rush hours, rush topics, and more.
Answers questions regarding the efficiency of conversations with agents in your channel.
This Quick Start guide will show you how to learn, explore, and act about your channel's Human Agents Dashboard. You'll see the play-by-plays you need to get the Dashboards basics under your belt, making you a seasoned expert in no time.
Obtain information about your conversations with agents and the total response time, among other topics, on your channel.
Filter by date, aggregation time, team, and agents' names, based on your needs.
Analyze the information, decide how your agents behave and focus them on the right path.
Before you start this tutorial, make sure that:
- You have a Yalo Studio account.
- Time has passed since your Flow is active and data is available to analyze.
Build confidence by trying things on your own!
Go to the Analytics section (left on the main navigation panel), then click Human Agents , and then play around the dashboard!
The page is made of two tabs:
- Efficiency Metrics
Let's start with the Overview tab; the page contains three main rows.
The first three Data Boxes are these:
Analysis Interval: Change the date ranges to see the information. By default, it is the last thirty days.
Time Aggregation: This allows you to select a periodicity for the dashboard's daily, weekly, and monthly data.
Team: This filter selects a team for the analysis, in case you have more than one.
Agent: This filter selects a specific agent's name for the analysis.
Agent's Email: This filter selects a specific agent's email.
Once you change a filter, click the reload button on the right side.
To download the data for more profound research, see the section Export Data at the bottom of this guide.
The page contains several graphics; the first two are:
Click on the elements (Assignments, Growth) at the bottom of the first graphic to toggle them for a different perspective.
The following graphics are:
Hover over the bars to see the detailed information in each graphic (amount of assignments).
The Efficiency Metrics dashboard aims to give insights into the number of registered conversations in the helpdesk. This dashboard helps get insights into the agent's performance, conversation status, and conversation duration times.
The page contains three main rows.
Next are three graphics showing information:
Hover over the bars to see detailed information (amount of conversations).
Next is a table with detailed information about the top performing agents and the overall waiting and attention times.
You can drill down the Data Boxes to see a detail of each Box. All the six Data Boxes have drill down; consider that you will visualize only those records filtered according to the Data Box.
- Click on the quantity of the Data Box to see the details of it
A pop-up table appears, showing the details:
The warning Row limit reached indicates that the table will show only up to 500 records; however, you can use the Export Data function to download the data in a convenient format.
Take a look at the following section.
You can download data from each Data Box and its drill-down details within the Human Agents Dashboard, in several formats, such as CSV, Excel, JSON, HTML, and Markdown, among others.
To export the data:
- Click on the three-dot menu at the top right of the Data Box/Graphic.
- Then click on the Download data button.
- In the pop-up, choose the type of format you want.
- Click on Advanced data options
We recommend leaving the rest of the checks marked as they are, only changing the field: Number of rows with the value: All Results, so that the export of data gets correctly generated.
- Click Download
- Save the file for further analysis.
If "All Results" is not available
Downloading an unlimited number of results is restricted for queries with table calculations.
To download more than "Results in Table", select "Custom" and enter a limit of up to 100,000 rows.
Updated about 1 year ago