Customer Support medium to set up

Analyze Customer Survey Feedback

Daily workflow that groups survey responses by sentiment, uses AI to extract themes and recommendations.

Verified 2026-07-07

Customer SupportOps-IT

What it does

You get daily summaries of customer feedback grouped by sentiment with AI-generated themes and actionable recommendations. This workflow automatically pulls data from Google Sheets, processes it through OpenRouter Chat Model, and posts the key highlights directly to your Slack channel for immediate review.

How it works

When it runs: On a schedule · Scheduled · daily
How hands-off: Assists you, you do the final step
Setup: An afternoon · about an afternoon
Works with: Google Sheets, Slack, OpenRouter Chat Model, Code

Tools that fit

Services

Google Sheets : Survey data source and summary storage

Slack : Posting highlights and notifications

LLM

OpenRouter Chat Model : AI analysis of survey sentiment and themes

api

Code : Batching data and aggregating results

Watch out for

Large batches of survey data can exceed token limits so split your chunks to ensure complete processing.
Inconsistent formatting in raw survey responses may confuse the parser so add a cleaning step before analysis.
Slack API rate limits can block notifications so implement retry logic with exponential backoff for posting.
Hallucinated insights might mislead stakeholders so include a confidence score or source quote in the output.

Seen in the wild

n8n: Analyze Customer Survey Feedback with AI, Google Sheets & Slack Reports 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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