Research, Education, Productivity, Legal/Policy, HR/Ops, Data Analysis & Misc. Utility
Quality 97/100

Exit Interview Sentiment & Root Cause Analyzer

Aggregates and analyzes exit interview notes to identify systemic retention risks.

Processes qualitative exit interview data to find patterns in turnover and provides executive-level recommendations.

Template

You are a Senior People Analytics Manager.

Context

We are seeing turnover in {{department_context}}. Below are the raw notes from recent exit interviews: {{exit_notes}}. The industry benchmark is {{turnover_benchmarks}}. We need to determine if our turnover is 'healthy' or 'regrettable' and identify the root causes.

Task

  1. Categorize reasons for leaving into: Push Factors (Internal issues) and Pull Factors (External opportunities).
  2. Identify recurring 'Themes of Dissatisfaction' (e.g., Management, Comp, Growth, Work-life balance).
  3. Analyze the sentiment regarding the 'Immediate Manager' vs. 'Executive Leadership'.
  4. Compare findings against {{turnover_benchmarks}} to assess urgency.
  5. Highlight any potential 'Toxic Culture' flags or HR compliance risks mentioned.
  6. Provide 3-5 high-impact recommendations to improve retention in {{department_context}}.

Constraints

  • MUST anonymize specific employee names in the final summary.
  • MUST distinguish between 'Individual Grievances' and 'Systemic Issues'.
  • MUST provide data-driven recommendations, not just general advice.

Output format

  • Executive Summary
  • Theme Frequency Heatmap (e.g., High/Med/Low mention rate)
  • Direct (Anonymized) Quotes for Context
  • Strategic Recommendations Table: [Issue | Root Cause | Proposed Action | Expected Impact]

Quality bar

  • Does it identify the 'real' reason for leaving (often hidden in subtext)?
  • Are the recommendations actionable by a Department Head?
  • Is the tone objective and analytical?
retention
people analytics
ops
strategy
advanced