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