Customer Support medium to set up

Support QA Reviews

On closed Intercom tickets, an agent scores clarity, tone, and resolution via GPT and logs results to Google Sheets.

Verified 2026-07-07

Customer Support

What it does

You get instant quality checks on every closed Intercom ticket as the agent scores your support conversations for clarity, tone, and resolution using OpenAI. It automatically logs these structured results to Google Sheets so you can track performance and provide targeted coaching feedback without manual review.

How it works

When it runs: Triggered by an event · Event · on conversation closed
How hands-off: Assists you, you do the final step
Setup: An afternoon · about an afternoon
Works with: Intercom, OpenAI Chat Model, Google Sheets

Tools that fit

Services

Intercom : Trigger and fetch conversation data

Google Sheets : Log structured QA scores

LLM

OpenAI Chat Model : Evaluate response quality and tone

Watch out for

Intercom API rate limits can block the run, so implement exponential backoff for retry logic.
Long transcripts may exceed token limits, so truncate or summarize history before sending to the model.
Google Sheets authentication tokens expire quickly, so refresh credentials programmatically before each write operation.
Ambiguous ticket statuses might trigger false positives, so filter webhooks strictly by closed status and valid IDs.

Seen in the wild

n8n: Automate Support QA Reviews with Intercom, GPT and Google Sheets template

Want this running in your business?

This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.

Get in touch

Who it's for

Built for support teams drowning in inbound and looking to triage faster, not just harder.

Frequently asked questions

Who is this for?

customer support teams, or anyone doing customer support work who wants this handled automatically rather than manually.

How long does it take to set up?

An afternoon: plan for about an afternoon to get it running end to end.

Related use cases

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