Block 1 - Parse Offboarding Data
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
Transform chaotic employee departures into secure, insightful offboarding experiences achieving zero security breaches, 100% equipment recovery, and actionable retention insights from every exit in...
n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.gmail, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jitesh Dugar.
Original n8n.io sourceTransform chaotic employee departures into secure, insightful offboarding experiences - achieving zero security breaches, 100% equipment recovery, and actionable retention insights from every exit interview.
Revolutionizes employee offboarding with AI-driven exit interview analysis and automated task orchestration:
π Exit Interview Capture - Jotform collects resignation details, ratings, feedback, and equipment inventory π€ AI Sentiment Analysis - Advanced AI analyzes exit interviews for retention insights, red flags, and patterns β οΈ Red Flag Detection - Automatically identifies serious issues (harassment, discrimination, ethics) for immediate escalation π€ Manager Intelligence - Flags management issues and provides coaching recommendations π Access Revocation - Schedules automatic system access removal on last working day π¦ Equipment Tracking - Generates personalized equipment return checklist for each employee π Knowledge Transfer - Assesses knowledge transfer risk and creates handover plan π° Retention Analytics - Identifies preventable departures and competitive intelligence π§ Automated Notifications - Sends checklists to employees, action items to managers, IT requests π Boomerang Prediction - Calculates likelihood of rehire and maintains alumni relationships
Required Integrations
Jotform - Exit interview and resignation form (free tier works) Create your form for free on Jotform using this link
OpenAI API - GPT-4 for AI exit interview analysis (~$0.20-0.50 per exit interview)
Gmail - Automated notifications to employees, managers, IT, and HR
Google Sheets - Exit interview database and retention analytics
This workflow demonstrates advanced n8n automation patterns:
Perfect for learning AI-powered HR automation and organizational analytics! π Workflow Architecture π Jotform Exit Interview Submission β π§Ύ Parse Offboarding Data β π€ AI Exit Interview Analysis (GPT-4) β ββ Retention analysis (preventability scoring) β ββ Sentiment analysis (tone, emotions) β ββ Manager performance evaluation β ββ Department insights β ββ Compensation benchmarking β ββ Knowledge transfer risk assessment β ββ Competitor intelligence β ββ Red flag detection β ββ Boomerang probability β ββ Action item generation β π Extract AI Analysis (JSON) β π§© Merge Exit Analysis with Data β ββ Calculate days until last day β ββ Build equipment checklist β ββ Assess urgency levels β β οΈ Has Red Flags? ββ TRUE β π¨ Send Red Flag Alert (HR Director/Legal) β β ββ FALSE β π§ Send Manager Action Items β βοΈ Send Employee Checklist β π Send IT Offboarding Request β π Log to Google Sheets
Ready to transform employee offboarding? Import this template and turn departures into retention insights while maintaining security and professionalism. Every exit becomes a learning opportunity! πͺβ¨ Questions or customization needs? The workflow includes detailed sticky notes explaining each AI analysis component and routing decision.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Automate employee offboarding with GPT-4 analysis & Jotform exit interviews |
|---|---|
| Complexity | advanced |
| Nodes | 20 |
| Categories | HR, AI Summarization |
| Author | Jitesh Dugar |
| Published | 15 Oct 2025 |
Use the JSON export at /data/workflows/9697/9697.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Transform chaotic employee departures into secure, insightful offboarding experiences achieving zero security breaches, 100% equipment recovery, and actionable retention insights from every exit in...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.