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Generate employee retention analytics reports with GPT-4o and Gmail digests

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 ...

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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) โšก Manual Trigger โ€“ Starts workflow execution on demand. ๐Ÿ“‘ Candidate Data Fetch (Google Sheets โ€“ Hires Tracking) โ€“ Pulls candidate-level details like name, role, traits, start date, and retention status. ๐Ÿ“‘ Trait Summary Fetch (Google Sheets โ€“ Retention Summary) โ€“ Fetches aggregated trait-level retention statistics, including hires, stayed, left, retention %, and weight adjustments. ๐Ÿ”€ Merge Candidate + Trait Data โ€“ Combines both datasets into a unified stream for scoring. ๐Ÿงฎ Candidate Scoring & Data Normalization (Code Node) โ€“ - Cleans and standardizes data. - Builds a trait โ†’ weight map. - Calculates each candidateโ€™s CandidateScore. - Outputs normalized JSON. - โœ… Data Validation (If Node) โ€“ Ensures both candidate and trait datasets are present. - TRUE โ†’ continues to AI digest generation. - FALSE โ†’ routes to error logging. - โš ๏ธ Error Handling Logic (Google Sheets โ€“ Error Log) โ€“ Logs any failed or incomplete runs into a dedicated error sheet for auditing. - ๐Ÿง  AI Processing Backend (Azure OpenAI) โ€“ Prepares candidate + trait data for GPT processing. - ๐Ÿค– Retention Digest Generator (LLM Chain) โ€“ 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 - ๐Ÿ“ง Email Delivery (Gmail) โ€“ Sends the digest directly to hiring managers as a styled HTML email with subject: - Retention Analysis Digest โ€“ 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 โœ… Automates retention analytics & reporting โœ… Provides AI-powered insights in structured HTML โœ… Improves hiring strategy with trait-based scoring โœ… Reduces manual effort in weekly retention reviews โœ… 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