Detect HubSpot Deal Stall Risk & Send Slack Alerts (n8n)
Detect HubSpot Deal Stall Risk & Send Slack Alerts (n8n)
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Detect HubSpot Deal Stall Risk & Send Slack Alerts (n8n)
Regular price
£27.99
Regular price
£27.99
Sale price
Unit price
/
per
Detect HubSpot Deal Stall Risk — and automatically alert your team in Slack (n8n)
This n8n workflow monitors your HubSpot deals for stall risk, generates a likely diagnosis with OpenRouter (Anthropic models), verifies it with guardrails, and then posts safe, non-duplicate Slack alerts and writes a note back to your CRM.
What this workflow does
- Runs weekly or on webhook: It fetches open deals from HubSpot on a schedule, or triggers when a deal stage change webhook is received (returns 202 Accepted immediately).
- Scores stall risk with deterministic rules: Each deal is normalized into a common schema and scored using weighted factors like activity gaps, time in stage, stakeholder count, close date pushes, and missing next steps.
- Escalates only when it matters: Low/medium risk deals skip LLM analysis. High-risk deals proceed to diagnosis generation.
- Generates and audits a structured stall diagnosis: Using OpenRouter (Anthropic), it produces fields such as likely cause, recommended action, urgency, and confidence, then runs a second call to audit the diagnosis against the raw deal data.
- Applies guardrails before sending: It validates diagnosis fields and performs an Anthropic-powered content safety scan before any Slack message is sent.
- Prevents alert fatigue: Duplicate alerts are suppressed unless the risk score changes significantly or the last alert is older than one week.
- Closes the loop: Sends the verified alert to the deal owner’s Slack channel (or a fallback channel) and writes a CRM note, recording the alert for future suppression logic.
Use cases
- Spot deals that are “stuck” and immediately notify owners in Slack.
- Standardize escalation playbooks for sales ops teams using objective stall-risk scoring.
- Use webhook-triggered updates when a deal stage changes, reducing detection latency.
Technical details
- n8n nodes: if, code, merge, slack, hubspot, webhook
- LLM stack: OpenRouter with Anthropic models (diagnosis + audit) and an additional Anthropic guardrails/content safety check
