AlekSystem Workflow Detail

AI-Powered Employee Retention Analytics Reports with GPT-4o and Gmail Digests Generation

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.

Rank 55 Verified workflow

Workflow overview

Why this workflow matters

Relevant for managed services and support workflows.

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 Candidate_Score. 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) AlekSystem 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

Best fit

Categories

AI/MLCommunicationDocument Ops

Services

Google SheetsGmailBasic LLM ChainAzure OpenAI Chat Model

Use cases

email workflow automation