The workload report includes the overview, trend of conversations and messages, conversation distribution (by conversation labels), conversation distribution (by messages), conversation distribution (by duration), agent workload, and team workload. You can filter these data and export the report based on the filtering options (including the time period, conversation tag, channel, channel account, agent, team, and conversation type). All query results are displayed in real time.
Metrics in the overview and graphics are system metrics; those in agent/team workload tables are for each agent/team.
To view the workload report, go to “Admin Mode > Analytics > Workload”. By default, the Workload page displays the workload completed by all agents this week.
The workload overview includes the system metrics: the number of messages, the number of end sessions, the number of subsequent sessions, the average number of single-session messages, the maximum number of single-session messages, the duration of the session, and the maximum duration of the session.
Note: In the above figure, the conversation duration is measured by hours/minutes/seconds. The maximum value is 99999 hours 59 minutes 59 seconds. In agent/team workload tables and workload reports, the conversation duration is measured by seconds, and the actual value is displayed.
The workload metrics are described as follows:
Note: Queued conversations, if directly closed without being served, are not counted as “served conversations” or “closed conversations”.
Use the following figure as an example. After being created, the conversation is served by agent A and then transferred to agent B. In the following figure, after a conversation is created, after the creation of the session, the first customer service A access, and then transferred to the customer service B, the session of the indicators:
If a conversation is transferred between different teams, the conversation duration and messages are divided between the teams in the same way as between agents.
Display the distribution of conversations started every day and the messages in these conversations in a diagram or histogram. The number of conversations is consistent with the History page.
Display the distribution of conversations based on the conversation tags. When filtering the workload data:
Display the distribution of conversations based on the number of messages.
Display the distribution of conversations based on the conversation durations.
On the Workload page, you can directly view the workload of each agent. The metrics are described as follows:
To view the workload of each team, click Sort on the Workload page and select Team. The metrics for teams are similar to those for agents. For example:
Note: If a conversation is transferred (in & out) within a team, the conversation is counted as one conversation for the team.
To filter workload data, click Sort on the Workload page and select the channel, channel account, agent, and team. Multiple agents and teams can be selected at the same time, and fuzzy query is supported for searching for the agents.
Note:
On the Workload page, click Export All to export a workload report in a CSV file. The CSV file can be used for data accumulation and analysis.
The service quality report includes the overview, satisfaction ratings, review ratings, valid conversations, conversation distribution (by first response time), conversation distribution (by average response time), agent service quality, and team service quality. You can filter these data and export the report based on the filtering options (including the time period, conversation tag, channel, channel account, agent, and team). All query results are displayed in real time.
Metrics in the overview and graphics are system metrics; those in agent/team service quality tables are for each agent/team.
To view the service quality report, go to “Admin Mode > Analytics > Service Quality”. By default, the Service Quality page displays the service quality of all agents this week.
The Service Quality overview includes the system metrics: satisfaction ratings, average first response time, maximum first response time, average response time, and maximum response time.
Note: In the above figure, the first response time and response time is measured by hours/minutes/seconds. The maximum value is 99999 hours 59 minutes 59 seconds. In agent/team service quality tables and service quality reports, the average response time and response time are measured by seconds, and the actual value is displayed.
The service quality metrics are described as follows:
Use the following figure as an example. After being created, the conversation is served by agent A and then transferred to agent B. The metrics for the conversation are described as follows:
If a conversation is transferred between different teams, the first and average response times are divided between the teams in the same way as between agents.
Display the distribution of satisfaction ratings in closed conversations.
Display the distribution of review ratings in closed conversations. * Unrated: Percentage of unrated conversations among all closed conversations. * 1, 2, 3, 4, 5: Percentage of conversations that are rated the scores 1, 2, 3, 4, and 5 among all closed conversations.
Display the percentage of valid conversations among all closed conversations.
Note:
Display the distribution of conversations based on the first response time. First response time of a conversation = Time of the agent's first message - Start time of the conversation.
Display the distribution of conversations based on the average response time. Average response time of a conversation = Total response time of the conversation/Number of times.
On the Service Quality page, you can directly view the service quality of each agent. The metrics are described as follows:
Note: the valid/invalid conversations and first/average response time are not calculated for the robot. But the robot shares the satisfaction ratings with the agent that serves the same conversation.
To view the service quality of each team, click Sort on the Service Quality page and select Team.
The metrics for teams are similar to those for agents. For example:
Note: If a conversation is transferred (in & out) within a team, the first response time of the team is the average of the first response times.
To filter service quality data, click Sort on the Service Quality page and select the channel, channel account, agent, and team. Multiple agents and teams can be selected at the same time, and fuzzy query is supported for searching for the agents.
Note:
On the Service Quality page, click Export All to export a service quality report in a CSV file. The CSV file can be used for data accumulation and analysis.
On the Agent Worktime page, you can view the agents' online and offline durations, filter the data based on the date and time and agent name, and export the agent worktime report. The sum of the online and offline duration is equal to the length of the selected time period.
To view the login detail of an agent, including the login IP address, just click on the agent.
The customer data report contains the number of individual customers, the trend of individual customers, the number of individual customers in different channels, and the percentage. The customer data can be filtered based on the time period, channel, channel account, customer tags, and number of visits. All query results are displayed in real time.
To view the customer data report, go to “Admin Mode > Analytics > Customer Data”. By default, the Customer Data page displays the number of new customers from all channels this week.
Display the number of individual customers. The number of individual customers is updated in real time.
Display the trend of daily individual customers from different channels. If the channel account, customer tag, or number of visits is selected, the total number of individual customers is displayed. The following figure shows an example of the trend of individual customers from different channels.
The number of individual customers is displayed based on the channel, channel account, customer tag, and the number of visits.
Note: Data related to customer tags are not real-time, and they are updated around 0:00 every day. For example, if a customer tag is added to a customer during an ongoing conversation on day 1, the number of customers with the tag is updated on day 2, whether or not the conversation is closed.
To filter customer data, click Sort on the Customer Data page, and select the time period and the display items (by channel, by channel account, by customer tag, by visiting times).
On the Customer Data page, click Export All to export a customer data report in a CSV file. The CSV file can be used for data accumulation and analysis.
The wait time report includes the overview, 24-hour conversations, 24-hour queuing trend, daily queuing trend, and wait times distribution. You can quickly find out the time period when there are a large number of conversations and messages and long wait time and make appropriate arrangements for your team. You can query and export reports based on the following filtering options: time period (conversation creation time), conversation tag, channel, channel account, wait time exceeds x seconds, and customer tag. All query results are displayed in real time.
To view the wait time report, go to “Admin Mode > Analytics > Wait Time”. By default, the Wait Time page displays the queuing data for all conversations that are created this week and have a wait time of more than 60 seconds.
Note: To view queuing conversations, go to “Agent Mode > Queue”.
The wait time overview includes the total number of wait times and the average wait time for the filtered conversations. The wait time of a conversation is the time that the conversation spends in the Queue.
Note: In the above figure, the wait time is measured by hours/minutes/seconds. The maximum value is 99999 hours 59 minutes 59 seconds. The actual value is displayed in other parts of the wait time report.
The wait time metrics are described as follows:
Display the number of new conversations created within each hour (eg: 0:00:00-0:59:59) and the number of messages in these conversations in a diagram or histogram. Queuing conversations and their messages are included.
Display the number of new conversations created each day (eg: 0:00:00-23:59:59) and the number of messages in these conversations in a diagram or histogram. Queuing conversations and their messages are included.
Display the queuing status of the conversations in every hour (eg: 0:00:00-00:59:59). The queuing status includes the wait times, average wait times, average wait time and maximum wait time.
= Daily Queuing ===
Display the queuing status of the conversations in every day (0:00:00-23:59:59). The queuing status includes the wait times, average wait times, average wait time and maximum wait time.
Display the wait times distribution based on the conversation tags. You can find out the type of conversations that enter the Queue most frequently.
To filter wait time data, click Sort on the Wait Time page, and select the time period, conversation tag, channel, channel account, wait time exceeds x seconds, and customer tag.
On the Wait Time page, click Export All to export a wait time report in a CSV file. The CSV file can be used for data accumulation and analysis.