Customer Support medium to set up

Evaluate Support Ticket Classifier

Runs support ticket test cases through the classifier to measure exact match accuracy against known labels.

Verified 2026-07-07

Developer-EngineeringOps-IT

What it does

Measure your support ticket classifier's accuracy by running test cases against known labels to find exactly where it makes mistakes. You get precise performance scores using n8n and OpenAI Chat Model to validate how well the system predicts correct answers.

How it works

When it runs: Run manually · Manual · on demand
How hands-off: Assists you, you do the final step
Setup: An afternoon · about an afternoon
Works with: n8n, OpenAI Chat Model, Evaluation Node

Tools that fit

Services

n8n : Workflow orchestration and evaluation trigger

Evaluation Node : Scoring AI predictions against expected labels

LLM

OpenAI Chat Model : Classifying tickets by category and urgency

Watch out for

The OpenAI model may output extra text like 'The answer is' which breaks exact match evaluation, so add a post-processing step to strip non-label characters.
Evaluation nodes in n8n can fail silently if input data types mismatch, so ensure the expected label field is always a string and not null.
Rate limits on the OpenAI API can cause workflow timeouts during bulk testing, so implement a delay or batch processing strategy for large datasets.
Hardcoded category names in the prompt may drift from your actual database labels, so use dynamic variables to inject the current list of valid categories into the system prompt.

Seen in the wild

n8n: Evaluate a support ticket classifier with OpenAI GPT-4o-mini and n8n evalua 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 developers who want the busywork around code automated, not the code itself.

Ops-IT teams triaging their own internal requests get the same pattern, different queue.

Frequently asked questions

Who is this for?

developers and engineers and ops and IT 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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