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) โก Manual Trigger โ Starts workflow execution on demand. ๐ Candidate Data Fetch (Google Sheets โ Hires Tracking) โ Pulls candidate-level details like name, role, traits, start date, and retention status. ๐ Trait Summary Fetch (Google Sheets โ Retention Summary) โ Fetches aggregated trait-level retention statistics, including hires, stayed, left, retention %, and weight adjustments. ๐ Merge Candidate + Trait Data โ Combines both datasets into a unified stream for scoring. ๐งฎ Candidate Scoring & Data Normalization (Code Node) โ - Cleans and standardizes data. - Builds a trait โ weight map. - Calculates each candidateโs CandidateScore. - Outputs normalized JSON. - โ 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. - โ ๏ธ Error Handling Logic (Google Sheets โ Error Log) โ Logs any failed or incomplete runs into a dedicated error sheet for auditing. - ๐ง AI Processing Backend (Azure OpenAI) โ Prepares candidate + trait data for GPT processing. - ๐ค 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 - ๐ง 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 โ Automates retention analytics & reporting โ Provides AI-powered insights in structured HTML โ Improves hiring strategy with trait-based scoring โ Reduces manual effort in weekly retention reviews โ 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