Templates / Diagnose website friction with Microsoft Clarity, Bright Data, GPT-5.6 and Slack

Diagnose website friction with Microsoft Clarity, Bright Data, GPT-5.6 and Slack

Ready for 3.0

by Daniel Shashko ✓ · 9 views · created 2026-08-17 · Market Research, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 21 nodes and runs on a schedule (every day at 09:00) (plus 1 other trigger). Along the way it connects Google Sheets, OpenAI Chat Model, Slack and Gmail and 1 more. It also calls api.brightdata.com over HTTP.

How it runs

Trigger: On a schedule (every day at 09:00) (plus 1 other trigger).

  1. Settings (Edit Fields (Set)): sets 6 fields: clarity_days, unlocker_zone, min_sessions…
  2. Fetch Clarity Friction (HTTP Request): calls an HTTP API (GET)
  3. Read Friction History (Google Sheets): uses Google Sheets
  4. Wait For Both Reads (Merge): merges the data from its input branches
  5. Flatten Clarity Metrics (Code): runs custom JavaScript code
  6. Rank Friction Pages (Code): runs custom JavaScript code
  7. Anything New To Explain? (If): checks a condition and branches into true / false
  8. Read Affected Pages (HTTP Request): calls api.brightdata.com (POST)
  9. Outline The Page (Code): runs custom JavaScript code
  10. Diagnose The Friction (Information Extractor): extracts structured fields from text with AI, with model: OpenAI Analyst

…plus 7 more steps. See the full node list below.

Services it uses

Google SheetsOpenAI Chat ModelSlackGmailTelegram

HTTP calls to: api.brightdata.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (14)

From the author

Quick overview This workflow runs daily to pull friction metrics from Microsoft Clarity, fetches the affected pages via Bright Data Web Unlocker, uses GPT-5.6 (OpenAI) to diagnose likely causes and fixes, then logs results to Google Sheets and posts a digest…

Excerpt from Daniel Shashko's description on n8n.io.

View the original on n8n.io → Check your own copy

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