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Keeping response times fast when support volume spikes

  • December 18, 2025
  • 1 reply
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Hi everyone,

When support volume suddenly spikes, I’ve noticed it becomes harder to keep response times consistent, even with automation and routing in place. Conversations pile up quickly, and it’s not always clear which steps should be handled automatically versus manually.

This came up in a discussion where someone mentioned structuring execution logic outside the main tool, like deltaexector.com, which made me think more broadly about handling load and prioritization. How do you usually manage high-volume periods without sacrificing response quality or burning out the team?

Do you lean more on automation, temporary rules, or external helpers to keep things moving smoothly? Would love to hear what’s worked for others.

Best answer by Thomas Metcalf

Triage everything through Fin - To handle volume with Knowledge or Procedures 

I manage a high volume spike workspace, I make sure Fin can handle as much of the appropriate volume first and then scale headcount up based on forcasting.

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  • February 25, 2026

Triage everything through Fin - To handle volume with Knowledge or Procedures 

I manage a high volume spike workspace, I make sure Fin can handle as much of the appropriate volume first and then scale headcount up based on forcasting.