Lead Qualification Engine

Who is this for?

You run sales scoring 30 new leads-sheet rows as they land, and this Sheets GPT workflow judges fit and updates status in place. Each row needs reading, fit judged, and status updated.

What problem does this solve?

You read each row, judge fit, then update the status. When the Sheets trigger fires on new rows, GPT scores fit and writes the verdict back in place. You just dispatch fits for calling instead of sorting rows yourself.

What this workflow does

1. Update lead status (Google Sheets)
2. Qualify leads with GPT (OpenAI)
3. Google Sheets - Audit Log (Google Sheets)
4. Slack - Error Alerts (Slack)
- Includes Daniel Grey pack: Slack - Error Alerts, Google Sheets - Audit Log, Wait - Rate Limit, Set - Audit Trail (all wired).

How it works

A change in Check for new entries kicks it off → Merge, Update lead status.

Setup

1. Open danielgrey.shop/app/templates/dg-0026 → Copy JSON → n8n → Import from Clipboard (or Push to n8n)
2. Connect credentials: Google Sheets, OpenAI, Slack
3. Run once manually to verify each branch — it imports clean and goes green first try — then a 10-minute review and activate.

Requirements

- n8n 1.50.0 or later
- Credentials for Google Sheets, OpenAI, Slack
- One-time $89 — yours forever, Pro unlocks it too.

Customising

- Point the Google Sheets steps at your own leads sheet and the scoring follows.
- Adjust the scoring prompt in Qualify leads with GPT for your fit criteria.