Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Description This workflow automates employee retention analytics by combining candidate performance data with trait level retention statistics. It scores candidates, validates data, and generates a...
n8n-nodes-base.manualtrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatazureopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io sourceThis workflow automates employee retention analytics by combining candidate performance data with trait-level retention statistics. It scores candidates, validates data, and generates a polished Retention Digest HTML email using GPT (Azure OpenAI). Hiring managers receive structured insights weekly, highlighting top/weak traits, candidate scores, and actionable JD refinement tips.
⚡ Manual Trigger – Starts workflow execution on demand. 📑 Candidate Data Fetch (Google Sheets – Hires Tracking) – Pulls candidate-level details like name, role, traits, start date, and retention status. 📑 Trait Summary Fetch (Google Sheets – Retention Summary) – Fetches aggregated trait-level retention statistics, including hires, stayed, left, retention %, and weight adjustments. 🔀 Merge Candidate + Trait Data – Combines both datasets into a unified stream for scoring. 🧮 Candidate Scoring & Data Normalization (Code Node) –
Google Sheets (Hires Tracking + Retention Summary + Error Log) Gmail API credentials Azure OpenAI access (gpt-4o-mini model) n8n instance (self-hosted or cloud)
✅ Automates retention analytics & reporting ✅ Provides AI-powered insights in structured HTML ✅ Improves hiring strategy with trait-based scoring ✅ Reduces manual effort in weekly retention reviews ✅ Ensures reliability with error handling & validation
HR & Recruitment teams monitoring post-hire retention Organizations optimizing job descriptions & hiring strategy Talent analytics teams needing automated, AI-driven insights Stakeholders requiring clear weekly digest emails
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 | Generate employee retention analytics reports with GPT-4o and Gmail digests |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | HR, AI Summarization |
| Author | Rahul Joshi |
| Published | 03 Oct 2025 |
Use the JSON export at /data/workflows/9236/9236.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.
Description This workflow automates employee retention analytics by combining candidate performance data with trait level retention statistics. It scores candidates, validates data, and generates a...
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.