Customer Support medium to set up

Sentiment Analytics Visualizer

Fetches customer reviews from a sheet, classifies sentiment with GPT-4o-mini, and emails a doughnut chart summary to the team.

Verified 2026-07-07

Customer SupportOps-IT

What it does

You get instant clarity on customer feedback as this agent pulls reviews from your Google Sheet, classifies each one with GPT-4o-mini, and updates the sheet with results. It then generates a visual doughnut chart summary and emails it to your team so everyone stays informed without manual tracking.

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: Google Sheets, OpenAI Chat Model, QuickChart, Gmail

Tools that fit

Services

Google Sheets : Store and update customer reviews

QuickChart : Generate doughnut chart image

Gmail : Email the sentiment chart to recipients

LLM

OpenAI Chat Model : Classify review sentiment

Watch out for

LLM rate limits can cause delays, add a retry mechanism with exponential backoff to handle temporary failures.
Inconsistent LLM outputs will break the tallying code, enforce strict JSON or string-only responses in your prompt.
QuickChart URLs have length restrictions for large datasets, limit the chart data to aggregated counts rather than individual reviews.
Gmail attachments may exceed size limits if not handled correctly, ensure you are sending a URL link to the chart instead of embedding a large image file.

Seen in the wild

n8n: Sentiment Analytics Visualizer 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.

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

Frequently asked questions

Who is this for?

customer support teams 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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