Overview
The issue involved TTFR metrics starting for posts in the pending queue, affecting agent performance metrics. This behavior is by design in the Khoros system, where TTFR begins counting as soon as a post is received. The solution was to adjust team settings to limit the number of simultaneous conversations assigned to an agent, ensuring more accurate TTFR metrics.
Information
Issue: TTFR metrics starting for posts in the pending queue, affecting agent performance metrics.
Cause: Khoros system design starts TTFR as soon as a post is received, regardless of its status in the agent's queue.
Resolution Steps:
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Understand TTFR Calculation:
- TTFR begins counting the moment a post (public or private) is received by the system.
- This metric reflects total elapsed time from the customer's perspective, not the agent's workflow state.
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Review Team Settings:
- Navigate to your team settings in the Khoros platform.
- Check the current configuration for the number of simultaneous conversations assigned to an agent.
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Adjust Simultaneous Conversation Limit:
- Reduce the number of conversations that can be assigned to an agent at one time.
- This helps manage agent workload and ensures more accurate TTFR metrics.
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Monitor and Validate:
- After making changes, monitor the TTFR metrics to ensure they align with expected performance.
- Confirm that agents are able to manage their queues effectively without impacting TTFR.
Note: If high volume persists and agents are saturated, TTFR will still count down as it is always from the customer's perspective. Consider additional staffing or workflow adjustments if necessary.
Frequently Asked Questions
- How does TTFR calculation work in Khoros?
- TTFR begins counting the moment a post is received, regardless of its status in the agent's queue. It reflects total elapsed time from the customer's perspective.
- How can I adjust the number of simultaneous conversations assigned to an agent?
- Navigate to your team settings in the Khoros platform and reduce the number of conversations that can be assigned to an agent at one time.
- What if TTFR metrics are still high after adjusting team settings?
- If high volume persists, consider additional staffing or workflow adjustments to manage agent workload and ensure accurate TTFR metrics.
Priyanka Bhotika
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