# Analyze & Tag User Feedback in Notion with OpenAI: n8n workflow

> Started by an event in a connected app, and works across Notion. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply...

Source: https://millionrounds.com/workflow/analyze-and-tag-user-feedback-in-notion-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Analyze & Tag User Feedback in Notion with OpenAI

Started by an event in a connected app, and works across Notion. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 19 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanalyze-and-tag-user-feedback-in-notion-with-openai)

**19 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 8 Logic 4 Service 6

The steps in the order they run, from what starts it.

- 1 **Get all feedback** Notion Tool *Service*
- 2 **Get all insights** Notion Tool *Service*
- 3 **Structured Output Parser** Output Parser Structured *Model*
- 4 **Create New Insight** Notion Tool *Service*
- 5 **Window Buffer Memory1** Memory Buffer Window *Model*
- 6 **on database item update** Notion trigger *Starts it*
- 7 **OpenAI - Sentiment Analysis** Lm Chat Open Ai *Model*
- 8 **OpenAI - AI Agent** Lm Chat Open Ai *Model*
- 9 **OpenAI - Parser fixing** Lm Chat Open Ai *Model*
- 10 **AI Agent** Agent *Model*
- 11 **Auto-fixing Output Parser** Output Parser Autofixing *Model*
- 12 **Sentiment Analysis1** Sentiment Analysis *Model*
- 13 **Set the Product information** Set *Logic*
- 14 **Merge** Merge *Logic*
- 15 **Update Feedback** Notion *Service*
- 16 **update feedback sentiment analysis** Notion *Service*
- 17 **Get database structure** Notion *Service*
- 18 **Clean the database propertied** Code *Logic*
- 19 **Set Prompt** Set *Logic*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 19
- **Size:** Medium: a working afternoon
- **Connects to:** Notion
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Notion account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 19 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 19 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanalyze-and-tag-user-feedback-in-notion-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Notion](https://millionrounds.com/workflows?service=Notion#library)

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**AI-powered customer feedback analysis & routing** 18 steps · calls a model · Gmail, Notion](https://millionrounds.com/workflow/ai-powered-customer-feedback-analysis-and-routing)
- [**Analyze competitor strategy from YouTube & RSS with Gemini** 18 steps · calls a model · Apify, Notion](https://millionrounds.com/workflow/analyze-competitor-strategy-from-youtube-and-rss-with-gemini)
- [**CallForge - 02 - prep Gong calls with Google Sheets and Notion** 20 steps · Google Sheets, Notion](https://millionrounds.com/workflow/callforge-02-prep-gong-calls-with-google-sheets-and-notion)
- [**Evaluate AI prompts with OpenRouter LLM-as-judge and Notion** 17 steps · calls a model · Notion](https://millionrounds.com/workflow/evaluate-ai-prompts-with-openrouter-llm-as-judge-and-notion)
- [**Autonomous Expert Intelligence Layer: Strategic Insight Engine** 16 steps · calls a model · Notion, Slack](https://millionrounds.com/workflow/autonomous-expert-intelligence-layer-strategic-insight-engin)
- [**Generate multi-agent research reports with Tavily and Groq** 22 steps · calls a model · Notion, Supabase vectors](https://millionrounds.com/workflow/generate-multi-agent-research-reports-with-tavily-and-groq)