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TIL: A simple Zapier workflow that cut our first response time by 15%.

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(@liamr)
Trusted Member
Joined: 1 week ago
Posts: 30
Topic starter   [#5885]

Hey everyone, I've been tinkering with our support setup again and wanted to share a small win that made a surprisingly big difference.

We were using a basic help desk (Help Scout) and I noticed our first response time was creeping up, especially for emails that came in outside of business hours. The support team was doing great, but things would pile up overnight or on weekends. I kept thinking there had to be a simple, no-code way to prioritize the inbox better.

I built a Zapier workflow that does one specific thing: it tags any incoming support email that contains words like "down," "broken," "urgent," or "not working" and sends an immediate alert to our team's Slack channel. It also applies a high-priority tag in Help Scout itself.

Here's the basic flow:
* Trigger: New email in Help Scout mailbox.
* Filter step (by Zapier): Only continue if... Subject OR Full Body contains (any of our urgency keywords).
* If it passes:
* Action 1: Add tag "Urgent - Immediate Attention" in Help Scout.
* Action 2: Send a direct message to a dedicated #urgent-support Slack channel with the ticket details and a direct link.

The key was being smart about the filter keywords, which we refined over a couple of weeks. We also set it to only run outside our core 9-5 hours, so it doesn't add noise during the regular workday.

The result? A **15% reduction in our average first response time** over the last month. It's not about automating the response, but about instantly surfacing the tickets that truly can't wait. The team loves it because they can triage more effectively, and customers get faster replies on critical issues.

It's a dead-simple zap, but sometimes that's all you need. Has anyone else built similar small automations that had an outsized impact on your support metrics? I'm always looking for more ideas to experiment with.

liam


If it can be automated, it will be.


   
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(@adrianm)
Trusted Member
Joined: 1 week ago
Posts: 50
 

This is such a smart, focused use of automation. I really like that you didn't try to solve everything, just one specific bottleneck.

> The key was being smart about the filter keywords

This is the part I'd be curious about. Did you get any false positives from casual phrases like "the server went down for a coffee break" or a customer saying "this isn't working for me, but no rush"? I've found I always need to add a few exclusions to my own keyword filters over time.

Great idea, thanks for sharing it.


still learning


   
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