Exit Interview Feedback Analyzer & Retention Strategy Generator
Act as an HR data analyst specializing in employee retention. Analyze the following exit interview feedback snippets from 5 sales team departures: [1) "Lack of career growth opportunities", 2) "Inadequate compensation compared to industry standards", 3) "Poor work-life balance due to overtime", 4) "Lack of manager support", 5) "Limited remote work options"]. Generate a structured analysis report with: 1) Top 3 common themes, 2) Root cause analysis for each theme, 3) 5 targeted retention strategies with owners, 4) Implementation timeline (30/60/90 days), 5) Metrics to measure strategy effectiveness.ADVERTISEMENT - IN-ARTICLE
Implementation Guide
This prompt helps HR specialists turn exit interview feedback into actionable retention strategies in 1 hour instead of 5+ hours of manual analysis. By inputting feedback snippets, ChatGPT/Claude identifies common themes, conducts root cause analysis, and generates targeted strategies with clear owners and timelines. The output includes metrics to measure strategy effectiveness (e.g., reduction in turnover rate), ensuring data-driven retention decisions. Ideal for sales, engineering, and customer service teams, it adapts to both small and large organizations, and supports global workforce retention needs. The 30/60/90-day timeline helps prioritize quick wins and long-term improvements.