👥 Generate employee retention analytics reports with GPT-4o and Gmail digests
⚡ 86 views · 👥 HR & Recruitment
Description
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 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.
What This Template Does (Step-by-Step)
⚡ 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) –
- Cleans and standardizes data.
- Builds a trait → weight map.
- Calculates each candidate’s Candidate_Score.
- Outputs normalized JSON.
- ✅ Data Validation (If Node) – Ensures both candidate and trait datasets are present.
- TRUE → continues to AI digest generation.
- FALSE → routes to error logging.
- ⚠️ Error Handling Logic (Google Sheets – Error Log) – Logs any failed or incomplete runs into a dedicated error sheet for auditing.
- 🧠 AI Processing Backend (Azure OpenAI) – Prepares candidate + trait data for GPT processing.
- 🤖 Retention Digest Generator (LLM Chain) – Uses GPT (gpt-4o-mini) to create a structured HTML Retention Digest, including:
- TL;DR summary
- Top Traits (positive retention)
- Weak Traits (negative retention)
- Candidate highlights (scores & retention status)
- 3 actionable JD refinement tips
- 📧 Email Delivery (Gmail) – Sends the digest directly to hiring managers as a styled HTML email with subject:
- Retention Analysis Digest – Weekly Update
Prerequisites
Google Sheets (Hires Tracking + Retention Summary + Error Log) Gmail API credentials Azure OpenAI access (gpt-4o-mini model) n8n instance (self-hosted or cloud)
Key Benefits
✅ 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
Perfect For
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
🔗 Nodes Used
Google Sheets, Gmail, Basic LLM Chain, Azure OpenAI Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File