Exit Interviews Database Template

Track departure reasons, capture feedback, and analyze sentiment securely.

Categories

Database
HR/People Ops
Google Sheets
Internal tool
Dashboard & Reporting
Employee Portal

Summarize with AI

Your Exit Interviews Database at a glance

This ready-to-use template helps HR teams capture, organize, and analyze employee departure feedback in one central system. It ensures sensitive conversations stay secure while surfacing actionable retention insights.

The database connects three core tables: Users, Departments, and Interviews. When you log an interview, you simply link the departing employee to their respective department and interviewer, keeping all organizational context perfectly intact.

It also comes equipped with built-in AI capabilities that do the heavy lifting for you. As soon as notes are added, the system automatically extracts key takeaways and determines the overall sentiment of the conversation.

Why tracking exit interviews gets messy in Google Sheets

When you manage sensitive HR processes in a spreadsheet, things break down quickly because text-heavy notes clutter up rows and keeping private conversations hidden is nearly impossible.

What a structured database changes

A relational structure solves these scaling pains immediately by keeping your data explicitly typed and cleanly connected. Instead of copying and pasting employee details across tabs, you simply link a record to a specific department or manager without fragile formulas.

This ensures your turnover metrics stay perfectly accurate as your headcount grows. This is exactly what Softr Databases are designed for—giving you robust, application-ready structure without the technical overhead.

What you can do with this template

You can immediately start logging structured departure reasons like "Better Compensation" or "Work-Life Balance" to spot trends. The template automatically rolls up headcount metrics per department so leaders can see exactly where turnover is happening.

Thanks to natively integrated Database AI agents, you don't even need to read through lengthy interview transcripts. The database automatically summarizes your long-form notes into key bullet points and tags the departure sentiment as Positive, Neutral, or Negative.

Tables for Exit Interviews Database

  • Users

    Manage employee profiles, departmental roles, and interview participation

  • Departments

    Organize company branches to monitor turnover rates and leadership structure

  • Interviews

    Log departure feedback with AI-powered sentiment and takeaway extraction

Who is this Exit Interviews Database for

This template is designed for teams that need to standardize their offboarding feedback loop seamlessly.

  • HR Professionals: Centralize all departure notes and accurately track turnover reasons over time.
  • Department Heads: Monitor headcount trends and specific retention challenges within their own teams.
  • People Operations: Automate sentiment analysis to quickly identify systemic cultural or management issues.

How to take it further

Because this is a native Softr Database, customizing it to your specific HR workflow takes just a few clicks. You can easily add new "Primary Reason for Leaving" options to the select field, or create a new column to track final payout statuses.

If you already have historical exit interview data stored elsewhere, you can quickly import it via CSV. This instantly populates your tables and gives your team immediate access to past retention trends.

When you're ready to share these insights, you can build a secure internal app on top of this exact structure. By using the interface builder, you can create customized dashboards for different stakeholders. With robust users and permissions, you guarantee that managers only see aggregated department metrics, while HR retains access to the sensitive individual interview notes.

How to use the Exit Interviews Database template

  • 1
    Click Use template: Sign up or log in to your Softr account (it’s free, no credit card required!)
  • 2
    Fine-tune the database: Adjust fields, options, and , settings so the database matches your specific needs. You can rename fields, change select options, or modify default values.
  • 3
    Add your data: Replace the mock content with your own and information. You can add data manually or import it quickly o cr via CSV.
  • 4
    Build an app on top of your database: Create a Softr app on top of this database to have a custom interface where users can log in, view data, and collaborate.

Frequently asked questions

  • What is an exit interviews database?
  • Why use a no-code database to build an offboarding system?
  • How can AI help managing data for exit interviews?
  • Can I build an app with this exit interviews database?
  • Is this exit interviews template free?
  • How is an exit interviews database different from Google Sheets?

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