Monitor Dashboards
The dashboards embedded in Agent Desk are the real-time dashboards for supervisors to view the summary statistics of the contact center including queues, agent states, and real-time conversations that are ongoing with agents and the bots.
With the new team-based implementation, now supervisors can see the list of conversations based on the team(s) that they supervise.
- The supervisor must have at least one team, for instance, Team Alpha
The supervisor must have at least one agent within her team. For instance, Agent-1 is a member of Team Alpha, which is supervised by Supervisor John.
Next, access the unified admin platform and assign agent attributes to Agent-1. This will establish a connection between Agent-1 and any available queue.
Then, log in as Agent-1 in the unified agent system at least once. This will ensure that all the changes made to Agent-1 take effect.
Now, the supervisor can log in as Supervisor John and observe that the Team Alpha & the queue(s) associated with Team Alpha are visible on the dashboard / Grafana. This allows the supervisor to view the corresponding data.
There are two types of dashboards currently available:
Summary Dashboards - built within Grafana to display summarized stats of queues, agents, active conversations and MRDs
Detail Dashboards - built within Agent Desk for details about active/queued conversations, agent activities
Let's walk through the following to have more details on it.
Summary Dashboard
The summary dashboard shows the summary statistics of all conversations being queued, active with agents/bots and the overall agent states on the MRDs. With the new team-based implementation, supervisors can now see the Team filter which allows supervisors to switch between the teams to select the desired team. Based on the specified team, they can then select the queue to monitor the queue statistics that are part of the supervisor's team.
To see the conversations on the dashboard, use the following filters in the sequence:
- Bot Name - Choose the name of the bot from the dropdown
- Team Name - Choose one team from the dropdown to see the associated queues. This allows supervisors to view the queues linked to the teams under their supervision.
- Queue Name - Based on the Team's selection, the Queues dropdown populates the queue(s) that are associated with the specified Team. Once the queue is selected, the data on the dashboard is filtered based on the selected queue.
- MRD Name - Based on the Team's selection, choose one MRD to see the current MRD states of those agents that are part of the supervisor's team.
Limitation
- Adding or removing agent attributes that affect queue associations will take effect upon the agent's next login, not in real-time on dashboards.
This dashboard is designed within Grafana and is available out-of-the-box with the deployment of Expertflow CX.
Each different widget on this dashboard is termed a Panel in Grafana.
The dashboard contains three rows where related data is grouped under each row.
Those three rows are:
- Queue Stats
- Agent Stats
- Bot Stats
See the following sections to learn more about the panels grouped under each row.
Queue Stats
The following table describes the information about each individual panel grouped under the row:
Queue Stats
Panel | Description | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Service Level% | Shows the Service Level % of a queue based on the Queues filter given on top of the dashboard. This data is retrieved from the historical database which is why, it gets updated after the historical reporting interval. The reporting interval is configurable. By default, it is set to 5 minutes. This is calculated based on the Service Level Type set in the queue definition by the administrator. See more on Reporting Database Schema -> Key Reporting Concepts to learn more about this parameter. | ||||||||||||||||||||
Active with Agents | Shows a number of active conversations that are currently active with agents of the selected team. This data is currently filtered based on the queue that is selected from the queue filter on top of the dashboard, showing the conversations of the queue that are currently active with agents. | ||||||||||||||||||||
| Average Wait Time | This is the time duration when the request remains in the queue. An average waiting time is calculated by summing all the waiting times and dividing them by the sum of all chats. Its format is hours minutes seconds (00h 00m 00s) | ||||||||||||||||||||
| Average Handle Time | This determines the average handle time of all closed tasks regardless of any disposition This duration is calculated as: task_end_time - task_answered_time In case, a conversation is joined and handled by multiple agents, the conversation's total handled duration is a sum of the handle durations of all agent tasks (created for each agent who joined the conversation). The average handled duration is calculated as:
Format: hours minutes seconds (00h 00m 00s) | ||||||||||||||||||||
| Queue Summary Statistics | This panel lists all queues in a tabular representation with summary statistics of each queue including the total queues, and the oldest in the queue.
With a queue filter dropdown, select a queue name from the list to filter out the data. You can select one or multiple desired queues to be shown under this panel. You can also apply sorting on the queue name to render the queue list in alphabetical order. |
Queue Summary Stats
Service level, Average Wait Time, and Average Handle Time data are based on historical data and therefore, are updated only in the historical reporting interval (aka ETL job interval). The default interval is set to 5 minutes, however, this setting is configurable and can be changed as required by the business.
Agent States
This panel shows a pie chart where each slice of the pie shows the count of agents in each MRD state. This data is filtered using the MRDs filter dropdown on top of the dashboard.
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Agent States
Bot Stats
This panel shows a number of active conversations that are currently active with the bot. This data is filtered using the Bots filter dropdown on top of the dashboard.
Bot Stats
Currently, the software only supports having one bot. When multiple bots support will be added in the future, this filter can be used to filter conversations active with a specified bot.
A conversation is considered to be active with the bot unless it is joined by some agent
Detailed Dashboards
The following dashboards are the dashboards where the details of a conversation are listed. The application offers the following three types of detailed views:
Queued Conversations Detail
This dashboard lists all conversations that are currently enqueued to a queue. With the implementation of team-based, supervisors can see the details of a queued conversation of one or multiple queues that are a part of a supervisor's team.
To see the desired conversation on this dashboard, use the following filters in the given sequence:
- Team - Choose one team from the dropdown to see the relevant queues in the Queues dropdown. This allows supervisors to view conversations in the queues that they supervise.
- Queue(s) - Based on the Team's selection, the Queues dropdown populates the queue(s) that are associated with the specified Team. Once the queue is selected, the data on the dashboard is filtered based on the selected queue. The dashboard will display data from all queues by default when a supervisor selects any team from the teams dropdown.
The following details of a conversation are available on the dashboard:
Field | Description |
|---|---|
Customer | Name (if identified) along with the customer channel identifier and a channel type icon to identify from which channel the customer initiated the conversation. |
Waiting Since | This is the time since this conversation is enqueued. This time is shown in terms of minutes, such as <x> minutes ago. |
Queue Name | The name of the queue where the conversation is enqueued |
You can change the queue from the Queues filter dropdown to see enqueued conversations on the specified queue.
Queued Conversations Detail
The dashboard automatically gets refreshed after every 10 seconds.
The filter of all queues shows all queues that are part of the supervisor’s team. This does not mean that this filter shows all the queues of the contact center.
Limitation
- Adding or removing agent attributes that affect queue associations will take effect upon the agent's next login, and not in real-time on dashboards.
Active Conversations Detail
This dashboard lists all conversations that are currently active with agents or bots. With the Team-based implementation, supervisors can now see the details of an active conversation of one or multiple queues that are a part of the supervisors' team.
To see the desired conversations on this dashboard, use the following filters in the given sequence:
- Answered by Agents or Bots - To see active conversations with bots, switch the value in the first tab of the top row, and set the filter to Answered by Bots. By default, it is set to Answered by Agents which shows the active conversations that are currently active with agents.
- Team - Choose one team from the dropdown to see the relevant queues in the Queues dropdown. This allows supervisors to view active conversations in the queues that they supervise.
- Queue(s) - Based on the Team's selection, the Queues dropdown populates the queue(s) that are associated with the specified Team. Once the queue is selected, the data on the dashboard is filtered based on the selected queue. Supervisors can also choose multiple queues in the filter.
The following details of a conversation are available on this dashboard:
Field | Description |
|---|---|
Direction | This shows the direction of the conversation, i.e. if it is Inbound or Outbound. |
Channel | This is the channel through which the customer has initiated the conversation. For instance, WhatsApp, Facebook, Webchat. |
Customer | Name (if identified) along with the channel identity (for instance, WhatsApp number, Facebook name, Email) |
Active Since | This is the time since this conversation became active. This time is shown in terms of minutes, such as <x> minutes ago. |
Agent | This shows the Agent's name along with the user name who handled the conversation. |
Queue Name | The name of the queue on which the conversation is enqueued |
Active Conversations Detail
The dashboard gets refreshed after every 10 seconds.
- A conversation might appear on Active Conversations Detail → Answered by Bots and Queued Conversations Detail at the same time. This is when it is still with the bot and not yet routed to an available agent from the queue. However, as soon as it is routed to an agent, it disappears from the Queued Conversations Detail dashboard.
- In case of a conversation that is active with any agent of the queue who is not part of the supervisor's team, the conversation will not be visible to the supervisor on the dashboard and will only be seen by the person who is the supervisor of that agent.
Active Agents Detail
This dashboard shows the list of all agents with a count of active conversations with each agent based on the selected team along with the current state of the agent in each MRD.
To see the desired conversations on this dashboard, use the following filters:
- Search Agent - This filter allows the supervisor to search for a specific agent of her team.
- Team - Choose one team from the dropdown to see the active agent's details and the current state of agents in each MRD.
The following details are available on the dashboard.
Field | Description |
|---|---|
Agent (s) | shows the name of an agent along with the current state Ready, Not Ready |
Active Conversation | shows the number of active conversations going on with the agent for the selected queue. |
MRD State | displays the current state of the agent in a particular MRD Colored circles on the upper right corner of the dashboard represent the MRD state. For more details of MRD State Transitions see < Agent State -> Change MRD States |
Active Agents Detail
Limitation
- Adding or removing agents from a team in Keycloak will take effect upon the agent's next login, not in real-time on dashboards.