Track departing employee feedback, spot turnover trends by department, and keep offboarding organized in one unified workspace. Connect your talent directory directly to exit feedback instantly.
When you log an interview, it automatically links to the employee's role and managers via native relations. This ensures your retention data always ties perfectly to the correct department.
As you paste notes, built-in Database AI agents instantly extract key takeaways and analyze the overall sentiment. This cuts out hours of manual reading and categorizes employee feedback on autopilot.
When employees leave, storing their feedback in scattered spreadsheets quickly becomes a disorganized mess of text blocks and isolated files.
Spreadsheets aren't built to handle paragraphs of qualitative feedback or link a departed employee reliably to their former department. Columns get mixed up, and analyzing real reasons for turnover at scale becomes impossible.
A structured table keeps every interview tied precisely to the employee without broken formulas. This is exactly what Softr Databases are designed for.
Ditch the manual copy-pasting and log detailed interview notes while clearly categorizing the primary reason for leaving.
Instantly identify which departments are losing headcount and track whether feedback trends are positive, neutral, or negative.
Manage employee profiles, HR access levels, and specific department roles
Analyze company turnover and retention metrics specific to each branch
Evaluate exit feedback using AI for sentiment detection and key takeaways
This system is built for teams focused on improving employee retention effortlessly.
Customize this template to match your exact offboarding process immediately. You can easily modify the dropdown choices for departure reasons or add new fields for feedback ratings.
Bring your historical data into the system in seconds via CSV import. Upload past exit interviews to instantly populate your records and run AI sentiment analysis heavily on them.
When your team is ready, turn this database into a complete internal tool by attaching a simple interface. Well-structured databases make building full-stack apps fundamentally easier and faster.
You can securely share retention insights while controlling who sees what using granular users and permissions. This ensures executives only see aggregated data while sensitive notes stay private to HR.
A structured system used to log, track, and analyze feedback from departing employees. It organizes interview notes, departure reasons, and turnover trends by department so teams can improve retention.
It gives HR teams the power to create a production-ready system instantly without relying on IT. You can launch it today and maintain total autonomy to edit fields as your offboarding process evolves.
AI makes analyzing long-form qualitative feedback incredibly efficient. By using Database AI agents, this template automatically extracts concise key takeaways from long interview notes and accurately categorizes the departure's sentiment into positive, negative, or neutral.
Yes, using Softr's interface builder you can easily connect an app directly to this database. You can build a secure portal where HR reps log feedback and executives view retention dashboards based strictly on their role.
Yes, this template is completely free to get started. Databases are included natively in Softr's free plan, while higher-tier plans offer increased record limits for scaling historical turnover data.
Google Sheets struggles with paragraphs of text and lacks true relational connections between an interview, an employee, and their department. A database enforces clean structure, meaning text stays as text and employee lookups never break like fragile VLOOKUPs do.