Exit Survey Template

Want to collect deep insights from employees during off-boarding?

Traditional exit surveys capture broad reasons for departure but miss crucial details from respondents. Aftercare's exit survey template collects both the broad reasons and nuance. The template has a curated list of top exit survey questions and uses AI follow-up questions to probe deeper into specific situations and issues that cause employees to leave.

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This approach is taken throughout the survey, during topics such as employee-manager relationships, compensation, and workplace challenges. For example, if an employee indicates they weren't fairly compensated, the AI will gather specific details about what a fair compensation package would look like. This helps gather specific data points to make targeted improvements.

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AI follow-ups are adapted based on each response, similar to an experienced HR interviewer. When discussing sensitive topics like management relationships or workplace challenges, the follow-ups explore relevant details while maintaining professionalism.

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The template analyzes responses to reveal patterns that might be missed in individual exit interviews. As you collect more responses, open-ended questions will automatically be categorized so you can see trends. This will help you implement changes that will have the biggest impact on employee retention — whether that's adjusting compensation structures, improving management training, or redesigning career development programs.

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Our exit survey template helps you:

Transform exit feedback into clear insights about management practices, compensation gaps, and growth barriers
Track specific workplace challenges across departments to prioritize high-impact improvements
Measure feedback regularly to verify that improvements achieve desired outcomes
Generate evidence-based recommendations for policy changes and management training

Aftercare's template is ready to use right away. It's designed to give you consistent, insightful, and reliable feedback from employees. It works seamlessly on mobile and desktop, so your respondents can give feedback wherever they're most comfortable.

Frequently asked questions

What types of follow-up questions does the AI ask about departure reasons?

When an employee indicates their primary reason for leaving, the AI explores specific circumstances that led to their decision. Each follow-up question's wording is customized based on the respondent's answer. For example, if someone cites "limited growth opportunities," the AI might ask about specific development resources they found missing or what career advancement barriers they encountered. This helps organizations understand the full context behind departure decisions.

How does the template handle responses about manager relationships?

The survey includes a dedicated section for feedback about direct manager relationships. When employees share their experiences, the AI asks follow-up questions that focus on specific management practices. They dig into factors that helped or hindered the employee-manager relationship while maintaining professionalism. This approach helps identify management training needs and gathers details, so feedback can be tied to real events.

What insights does the compensation feedback section provide?

For employees who indicate compensation concerns, the template collects detailed feedback about expected salary ranges, benefits packages, and other compensation elements. This data is automatically categorized to help organizations understand specific gaps in their compensation strategy across different roles and departments.

What is the best way to implement feedback from exit surveys to improve employee experience?

The template provides two levels of actionable data: immediate insights and long-term trends. For immediate action, use the detailed feedback about specific managers or departments to conduct targeted interventions—whether through 1:1 coaching, resource allocation, or policy adjustments. For systematic improvement, analyze aggregated data monthly to identify patterns in departure reasons, compensation concerns, and workplace challenges. Aftercare's AI categorization of responses helps prioritize changes: if multiple departures cite similar management practices or workplace challenges, use this data to develop focused training programs or policy updates. Track the effectiveness of these interventions through subsequent exit surveys, creating a continuous improvement cycle that measurably enhances employee retention and satisfaction.

How did we design this exit survey template?

Our innovative exit survey template combines best-in-class questions with AI-powered follow-up questions to uncover deeper insights that standard exit surveys often miss. As founders of a Y Combinator-backed startup, our work with companies across the spectrum—from startups to enterprises—revealed the limitations of conventional exit surveys. This experience led us to create this dynamic template that captures the nuanced feedback essential for meaningful organizational improvement.