Get real-time and historical analytics in the Queues app for Microsoft Teams
Use the Queues app analytics dashboard to see how your queues are doing now (real time) and how they did in the past (historical). Use these metrics to spot trends and plan staffing and queue settings.
For more metrics for auto attendants and call queues in Power BI, see Auto attendant and Call queue historical reports. ​​​​​​​
Overview
The Queues app provides analytics that help supervisors and queue owners understand how calls move through auto attendants, call queues, and queue members (agents). These analytics are designed to monitor call handling and spot trends over time.
If authorized by your IT admin, you can see real-time and historical metrics. What you see depends on your admin settings and your permissions. Analytics are available in two views:
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Real-time analytics, which reflect current call activity.
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Historical analytics, which summarize activity over a selected time range.
The metrics you see depend on your permissions and the queues or auto attendants you have access to. Some metrics are available only at specific levels, such as per queue or per agent.
Note: Real-time analytics are reported in your device's local time, and historical analytics are reported in UTC time zone (Coordinated Universal Time).
Access analytics
You can open analytics in two ways:
Option 1: Select a queue. You will see a quick overview at the top of Quick access on the left side of Teams.
Option 2: Open the full analytics dashboard:
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In the Queues app, select Analytics.
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Select Real-time or Historical.
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If you selected Historical, choose a date range, and then select Apply.
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Use the dropdown lists to pick the queue, auto attendant, or agent you want to review.
Call queue metrics
Call queue metrics focus on how calls are handled once they enter a queue. These metrics help you understand caller experience, queue behavior, and how effectively calls are answered.
Real-time call queue metrics
Real-time call queue metrics show what is happening in a queue right now. For example, you can see how many calls are waiting and how long people have been waiting. Real-time metrics show only today, starting at 12:00 AM local time.
|
Metric |
Definition |
|---|---|
|
Number of waiting calls |
The number of calls currently waiting in the queue. |
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Average call answering time |
The average time it takes for calls to be answered after entering the queue. |
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Longest call waiting time |
The longest amount of time any current caller has been waiting in the queue. |
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Abandoned percentage |
The percentage of offered calls that were abandoned. |
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Total offered calls |
The total number of calls offered to the queue. Includes the number of calls answered and the number of calls that timed out before being answered. |
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Unanswered calls |
The total number of calls that were not answered due to caller abandonment, no agent available, call overflowed to another destination, or call timed out before being answered. |
Historical call queue metrics
Historical call queue metrics summarize how a queue performed over time. These metrics help identify trends, recurring issues, and changes in call behavior. Historical analytics are shown in UTC time zone.
|
Metric |
Definition |
|---|---|
|
Total call volume |
The total number of calls received by the queue during the selected period. |
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Average wait time before answered |
The average time callers waited before their call was answered. |
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Average wait time before abandoned |
The average time callers waited before abandoning the call. |
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Call results |
A breakdown of call outcomes, such as answered, abandoned, timed out, overflow, or no agents available. |
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Exception handling |
Information about calls that followed exception paths or behaviors. |
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Abandoned calls over days |
Trends showing how abandoned calls change over time. |
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Call volume and opt-in agents |
Call volume correlated with the number of agents opted in to the queue. |
Call queue member (agent) metrics
Agent metrics focus on how individual agents handle calls in a queue. These metrics help you understand agent participation, availability, and call handling.
Real-time call queue member metrics
Real-time queue member metrics show what each agent is doing right now. For example, you can see whether an agent is available and how calls are being offered. Real-time metrics show only today, starting at 12:00 AM local time.
|
Metric |
Definition |
|---|---|
|
Total calls answered |
The total number of calls answered by the agent. |
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Total calls presented |
The total number of calls presented to a specific agent. |
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Average call resolution |
The percentage of calls presented to the agent that the agent answered. |
Historical call queue member metrics
Historical queue member metrics summarize how agents handled calls over time. These metrics help evaluate workload, call duration, and participation. Historical analytics are shown in UTC time zone.
|
Metric |
Definition |
|---|---|
|
Calls answered by agents/call queue |
The number of calls answered by agents within the queue. |
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Agent details |
Information about individual agents included in the analytics. |
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Calls answered |
The total number of calls answered by the agent. |
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Total call duration |
The total amount of time the agent spent on answered calls. |
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Average answered call duration |
The average duration of calls answered by the agent. |
Auto attendant metrics
Auto attendant metrics focus on how callers interact with auto attendants before reaching a queue or other destination. These metrics help you understand caller behavior and call routing patterns.
Real-time auto attendant metrics
Real-time auto attendant metrics show what callers are doing right now. For example, you can see transfers, key selections, and time spent in the auto attendant. Real-time metrics show only today, starting at 12:00 AM local time.Â
|
Metric |
Definition |
|---|---|
|
Total call volume |
The total number of calls presented to the auto attendant, split by internal versus external calls. |
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Total Abandoned calls |
The total number of calls abandoned while in the auto attendant. |
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Average time in auto attendant |
The average amount of time callers spent in the auto attendant. |
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Average caller action count |
The average number of actions taken by callers while in the auto attendant. |
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Total system-initiated disconnects |
The total number of calls disconnected by the system, such as when a call occurs after hours. |
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Total callers |
The total number of callers, split by internal versus external callers. |
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Key options selected |
The number of times each key option (0-9, *, #) was selected. |
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Transfer endpoint initiated by callers |
Transfers initiated by callers to voice apps, operators, users, PSTN numbers, or voicemail. |
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Transfer endpoint initiated by system |
Transfers initiated by the system to voice apps, operators, users, PSTN numbers, or voicemail. |
Historical auto attendant metrics
Historical auto attendant metrics summarize how the auto attendant handled calls over time. These metrics help evaluate call volume, call actions, and call results. Historical analytics are shown in UTC time zone.
|
Metric |
Definition |
|---|---|
|
Total call volume |
The total number of calls handled by the auto attendant, split by internal versus external calls. |
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Average caller action count |
The average number of actions taken by callers. |
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Average time in auto attendant |
The average amount of time callers spent in the auto attendant. |
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Directory search method |
The method callers used to search the directory. |
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Caller action count |
The total number of caller actions taken. |
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Call results |
A breakdown of call outcomes after passing through the auto attendant. Note: Others section in call results includes system-initiated disconnects. |