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Agent Analytics on Spur

Track team performance, response times & message activity using Spur’s Agent Analytics. Know what’s working & where to improve.

Updated over a week ago

What is Agent Analytics?

Agent Analytics is a dedicated section within Spur that allows you to measure and evaluate the performance of your support agents

Agent Analytics gives you a complete breakdown of:

  • Number of tickets handled by each agent

  • First response times

  • Resolution times

  • Communication activity (messages sent)

This helps businesses understand how their support team is performing over time.


1. Accessing Agent Analytics

Where to find it:

  • Log into Spur.

  • Look at the left-hand vertical pane.

  • Click on the icon with a bar graph titled "Analytics".


2. Selecting Agent and Time Period

  • At the top, you can select an agent using the dropdown.

  • You can also select the time period for which you want to see performance:

    • Today

    • Week

    • Month

    • Custom (lets you choose any start and end date and time)


3. Ticket Metrics

a. Tickets Closed (Resolved)

  • Shows how many tickets the selected agent resolved in the selected time frame.

  • Represented by a green tick and labeled "Resolved".

b. Open Tickets (Active)

  • Tickets still assigned to the agent that haven't been manually closed.

  • Even if resolved, if not closed, they show up here.


4. Communication: Messages Sent

  • Total number of messages sent by the selected agent during the selected time period.

  • Labeled "Communication".

Screenshot #4: Highlight the Messages Sent number and label.


5. Time Toggle: Standard vs Working Hours

  • A toggle lets you switch between Standard Times and Working Hours Only.

What this means:

  • Standard Time: Calculates time as it is, without considering the shift.

  • Working Hours Only: Factors in shift hours. For example, if a shift ends at 6 PM and a query comes at 7 PM, the clock pauses until the next shift starts.


Where to find it:


What it looks like turned on to show results with working hours factored in:


6. Ticket Resolution Times

  • This shows how fast the agent is resolving tickets:

    • Minimum: Fastest resolution time.

    • Maximum: Longest it has taken.

    • Average: Average time across all tickets resolved.

  • Changes depending on Standard vs Working Hours toggle.


7. First Response Times

  • Measures how quickly the agent responds once a ticket is assigned:

    • Minimum: Fastest first response time.

    • Maximum: Longest time taken to respond.

    • Average: Typical response time across the time period.


Summary

With Agent Analytics, you can:

  • Monitor each team member’s performance.

  • Track efficiency in resolving and responding to tickets.

  • Toggle between standard and working hour-based views.

Perfect for internal reviews, performance discussions, and finding areas for process improvement.

Use this dashboard regularly to identify trends, bottlenecks, and top performers in your support team.

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