Nurse Retention Strategy Using Exit Interview Analysis
Address the nursing shortage with data-driven retention. Analyze nurse exit interviews to identify burnout patterns, scheduling issues, and management problems.
The Nursing Crisis by the Numbers
Nurse turnover costs $46,000-$92,000 per departure. With a projected shortage of 1.1 million nurses by 2030, retention is not optional — it's a patient safety issue.
Burnout Signal Detection
ExitView AI identifies burnout signals in exit interviews even when nurses don't explicitly say 'burnout.' References to workload, emotional exhaustion, and inability to provide quality care are automatically flagged.
Unit-Level Comparison
Different units have different retention challenges. ICU nurses cite different themes than ED or Med-Surg nurses. ExitView AI provides department-level analysis to target interventions.
Scheduling as a Retention Lever
Scheduling flexibility is the #2 factor in nurse retention after compensation. ExitView AI tracks scheduling-related themes and quantifies their impact on departure decisions.
Actionable Recommendations
ExitView AI generates specific, data-backed recommendations: 'Implement self-scheduling for ICU night shift' or 'Address patient ratios in Med-Surg Building B' — not generic advice.
Build Your Retention Strategy with Data
ExitView AI analyzes exit interviews and generates actionable retention recommendations automatically.
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